FIFA 20

Dataset statistics

Number of variables	104
Number of observations	18278
Missing cells	244935
Missing cells (%)	12.9%
Total size in memory	14.5 MiB
Average record size in memory	832.0 B

Variable types

Numeric	58
Categorical	45
Boolean	1

Alerts

`player_url` has a high cardinality: 18278 distinct values	High cardinality
`short_name` has a high cardinality: 17354 distinct values	High cardinality
`long_name` has a high cardinality: 18218 distinct values	High cardinality
`dob` has a high cardinality: 6142 distinct values	High cardinality
`nationality` has a high cardinality: 162 distinct values	High cardinality
`club` has a high cardinality: 698 distinct values	High cardinality
`player_positions` has a high cardinality: 643 distinct values	High cardinality
`player_tags` has a high cardinality: 83 distinct values	High cardinality
`loaned_from` has a high cardinality: 316 distinct values	High cardinality
`joined` has a high cardinality: 1760 distinct values	High cardinality
`player_traits` has a high cardinality: 921 distinct values	High cardinality
`ls` has a high cardinality: 94 distinct values	High cardinality
`st` has a high cardinality: 94 distinct values	High cardinality
`rs` has a high cardinality: 94 distinct values	High cardinality
`lw` has a high cardinality: 107 distinct values	High cardinality
`lf` has a high cardinality: 103 distinct values	High cardinality
`cf` has a high cardinality: 103 distinct values	High cardinality
`rf` has a high cardinality: 103 distinct values	High cardinality
`rw` has a high cardinality: 107 distinct values	High cardinality
`lam` has a high cardinality: 103 distinct values	High cardinality
`cam` has a high cardinality: 103 distinct values	High cardinality
`ram` has a high cardinality: 103 distinct values	High cardinality
`lm` has a high cardinality: 100 distinct values	High cardinality
`lcm` has a high cardinality: 88 distinct values	High cardinality
`cm` has a high cardinality: 88 distinct values	High cardinality
`rcm` has a high cardinality: 88 distinct values	High cardinality
`rm` has a high cardinality: 100 distinct values	High cardinality
`lwb` has a high cardinality: 98 distinct values	High cardinality
`ldm` has a high cardinality: 98 distinct values	High cardinality
`cdm` has a high cardinality: 98 distinct values	High cardinality
`rdm` has a high cardinality: 98 distinct values	High cardinality
`rwb` has a high cardinality: 98 distinct values	High cardinality
`lb` has a high cardinality: 96 distinct values	High cardinality
`lcb` has a high cardinality: 110 distinct values	High cardinality
`cb` has a high cardinality: 110 distinct values	High cardinality
`rcb` has a high cardinality: 110 distinct values	High cardinality
`rb` has a high cardinality: 96 distinct values	High cardinality
`sofifa_id` is highly correlated with `age` and 13 other fields	High correlation
`age` is highly correlated with `sofifa_id` and 13 other fields	High correlation
`height_cm` is highly correlated with `weight_kg` and 11 other fields	High correlation
`weight_kg` is highly correlated with `height_cm` and 7 other fields	High correlation
`overall` is highly correlated with `age` and 59 other fields	High correlation
`potential` is highly correlated with `overall` and 33 other fields	High correlation
`value_eur` is highly correlated with `overall` and 41 other fields	High correlation
`wage_eur` is highly correlated with `overall` and 38 other fields	High correlation
`skill_moves` is highly correlated with `height_cm` and 53 other fields	High correlation
`release_clause_eur` is highly correlated with `overall` and 41 other fields	High correlation
`pace` is highly correlated with `player_tags` and 6 other fields	High correlation
`shooting` is highly correlated with `overall` and 43 other fields	High correlation
`passing` is highly correlated with `overall` and 41 other fields	High correlation
`dribbling` is highly correlated with `overall` and 43 other fields	High correlation
`defending` is highly correlated with `overall` and 28 other fields	High correlation
`physic` is highly correlated with `height_cm` and 20 other fields	High correlation
`gk_diving` is highly correlated with `age` and 18 other fields	High correlation
`gk_handling` is highly correlated with `age` and 19 other fields	High correlation
`gk_kicking` is highly correlated with `sofifa_id` and 18 other fields	High correlation
`gk_reflexes` is highly correlated with `age` and 19 other fields	High correlation
`gk_speed` is highly correlated with `sofifa_id` and 5 other fields	High correlation
`gk_positioning` is highly correlated with `sofifa_id` and 20 other fields	High correlation
`attacking_crossing` is highly correlated with `height_cm` and 54 other fields	High correlation
`attacking_finishing` is highly correlated with `overall` and 58 other fields	High correlation
`attacking_heading_accuracy` is highly correlated with `height_cm` and 42 other fields	High correlation
`attacking_short_passing` is highly correlated with `overall` and 57 other fields	High correlation
`attacking_volleys` is highly correlated with `overall` and 56 other fields	High correlation
`skill_dribbling` is highly correlated with `height_cm` and 60 other fields	High correlation
`skill_curve` is highly correlated with `overall` and 54 other fields	High correlation
`skill_fk_accuracy` is highly correlated with `overall` and 45 other fields	High correlation
`skill_long_passing` is highly correlated with `overall` and 52 other fields	High correlation
`skill_ball_control` is highly correlated with `overall` and 59 other fields	High correlation
`movement_acceleration` is highly correlated with `height_cm` and 38 other fields	High correlation
`movement_sprint_speed` is highly correlated with `skill_moves` and 33 other fields	High correlation
`movement_agility` is highly correlated with `height_cm` and 39 other fields	High correlation
`movement_reactions` is highly correlated with `age` and 51 other fields	High correlation
`movement_balance` is highly correlated with `height_cm` and 29 other fields	High correlation
`power_shot_power` is highly correlated with `overall` and 44 other fields	High correlation
`power_stamina` is highly correlated with `skill_moves` and 44 other fields	High correlation
`power_strength` is highly correlated with `height_cm` and 6 other fields	High correlation
`power_long_shots` is highly correlated with `overall` and 57 other fields	High correlation
`mentality_aggression` is highly correlated with `skill_moves` and 38 other fields	High correlation
`mentality_interceptions` is highly correlated with `overall` and 51 other fields	High correlation
`mentality_positioning` is highly correlated with `height_cm` and 59 other fields	High correlation
`mentality_vision` is highly correlated with `overall` and 42 other fields	High correlation
`mentality_penalties` is highly correlated with `skill_moves` and 46 other fields	High correlation
`mentality_composure` is highly correlated with `overall` and 56 other fields	High correlation
`defending_marking` is highly correlated with `overall` and 49 other fields	High correlation
`defending_standing_tackle` is highly correlated with `overall` and 52 other fields	High correlation
`defending_sliding_tackle` is highly correlated with `overall` and 48 other fields	High correlation
`goalkeeping_diving` is highly correlated with `overall` and 38 other fields	High correlation
`goalkeeping_handling` is highly correlated with `overall` and 52 other fields	High correlation
`goalkeeping_kicking` is highly correlated with `skill_moves` and 51 other fields	High correlation
`goalkeeping_positioning` is highly correlated with `overall` and 53 other fields	High correlation
`goalkeeping_reflexes` is highly correlated with `overall` and 38 other fields	High correlation
`international_reputation` is highly correlated with `overall` and 42 other fields	High correlation
`power_jumping` is highly correlated with `physic`	High correlation
`rm` is highly correlated with `sofifa_id` and 58 other fields	High correlation
`ldm` is highly correlated with `age` and 54 other fields	High correlation
`lm` is highly correlated with `sofifa_id` and 58 other fields	High correlation
`lb` is highly correlated with `sofifa_id` and 55 other fields	High correlation
`lcm` is highly correlated with `overall` and 51 other fields	High correlation
`rb` is highly correlated with `sofifa_id` and 55 other fields	High correlation
`rs` is highly correlated with `sofifa_id` and 56 other fields	High correlation
`player_tags` is highly correlated with `sofifa_id` and 68 other fields	High correlation
`rcm` is highly correlated with `overall` and 51 other fields	High correlation
`body_type` is highly correlated with `weight_kg` and 23 other fields	High correlation
`st` is highly correlated with `sofifa_id` and 56 other fields	High correlation
`ls` is highly correlated with `sofifa_id` and 56 other fields	High correlation
`lwb` is highly correlated with `sofifa_id` and 53 other fields	High correlation
`rdm` is highly correlated with `age` and 54 other fields	High correlation
`rwb` is highly correlated with `sofifa_id` and 53 other fields	High correlation
`real_face` is highly correlated with `overall` and 29 other fields	High correlation
`cdm` is highly correlated with `age` and 54 other fields	High correlation
`cm` is highly correlated with `overall` and 51 other fields	High correlation
`work_rate` is highly correlated with `player_tags`	High correlation
`team_position` is highly correlated with `skill_moves` and 39 other fields	High correlation
`nation_position` is highly correlated with `value_eur` and 45 other fields	High correlation
`nation_jersey_number` is highly correlated with `skill_moves` and 14 other fields	High correlation
`release_clause_eur` has 1298 (7.1%) missing values	Missing
`player_tags` has 16779 (91.8%) missing values	Missing
`team_position` has 240 (1.3%) missing values	Missing
`team_jersey_number` has 240 (1.3%) missing values	Missing
`loaned_from` has 17230 (94.3%) missing values	Missing
`joined` has 1288 (7.0%) missing values	Missing
`contract_valid_until` has 240 (1.3%) missing values	Missing
`nation_position` has 17152 (93.8%) missing values	Missing
`nation_jersey_number` has 17152 (93.8%) missing values	Missing
`pace` has 2036 (11.1%) missing values	Missing
`shooting` has 2036 (11.1%) missing values	Missing
`passing` has 2036 (11.1%) missing values	Missing
`dribbling` has 2036 (11.1%) missing values	Missing
`defending` has 2036 (11.1%) missing values	Missing
`physic` has 2036 (11.1%) missing values	Missing
`gk_diving` has 16242 (88.9%) missing values	Missing
`gk_handling` has 16242 (88.9%) missing values	Missing
`gk_kicking` has 16242 (88.9%) missing values	Missing
`gk_reflexes` has 16242 (88.9%) missing values	Missing
`gk_speed` has 16242 (88.9%) missing values	Missing
`gk_positioning` has 16242 (88.9%) missing values	Missing
`player_traits` has 10712 (58.6%) missing values	Missing
`ls` has 2036 (11.1%) missing values	Missing
`st` has 2036 (11.1%) missing values	Missing
`rs` has 2036 (11.1%) missing values	Missing
`lw` has 2036 (11.1%) missing values	Missing
`lf` has 2036 (11.1%) missing values	Missing
`cf` has 2036 (11.1%) missing values	Missing
`rf` has 2036 (11.1%) missing values	Missing
`rw` has 2036 (11.1%) missing values	Missing
`lam` has 2036 (11.1%) missing values	Missing
`cam` has 2036 (11.1%) missing values	Missing
`ram` has 2036 (11.1%) missing values	Missing
`lm` has 2036 (11.1%) missing values	Missing
`lcm` has 2036 (11.1%) missing values	Missing
`cm` has 2036 (11.1%) missing values	Missing
`rcm` has 2036 (11.1%) missing values	Missing
`rm` has 2036 (11.1%) missing values	Missing
`lwb` has 2036 (11.1%) missing values	Missing
`ldm` has 2036 (11.1%) missing values	Missing
`cdm` has 2036 (11.1%) missing values	Missing
`rdm` has 2036 (11.1%) missing values	Missing
`rwb` has 2036 (11.1%) missing values	Missing
`lb` has 2036 (11.1%) missing values	Missing
`lcb` has 2036 (11.1%) missing values	Missing
`cb` has 2036 (11.1%) missing values	Missing
`rcb` has 2036 (11.1%) missing values	Missing
`rb` has 2036 (11.1%) missing values	Missing
`player_url` is uniformly distributed	Uniform
`short_name` is uniformly distributed	Uniform
`long_name` is uniformly distributed	Uniform
`sofifa_id` has unique values	Unique
`player_url` has unique values	Unique
`value_eur` has 250 (1.4%) zeros	Zeros
`wage_eur` has 240 (1.3%) zeros	Zeros

Reproduction

Analysis started	2022-10-27 05:36:54.857424
Analysis finished	2022-10-27 05:38:16.445549
Duration	1 minute and 21.59 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

sofifa_id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	18278
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	219738.8645

Minimum	768
Maximum	252905
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	768
5-th percentile	171915.7
Q1	204445.5
median	226165
Q3	240795.75
95-th percentile	251336.15
Maximum	252905
Range	252137
Interquartile range (IQR)	36350.25

Descriptive statistics

Standard deviation	27960.20046
Coefficient of variation (CV)	0.127242855
Kurtosis	8.135198924
Mean	219738.8645
Median Absolute Deviation (MAD)	16836
Skewness	-1.950602909
Sum	4016386965
Variance	781772809.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
158023	1	< 0.1%
247213	1	< 0.1%
237712	1	< 0.1%
235633	1	< 0.1%
252324	1	< 0.1%
248573	1	< 0.1%
247870	1	< 0.1%
247328	1	< 0.1%
246666	1	< 0.1%
240245	1	< 0.1%
Other values (18268)	18268	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
768	1	< 0.1%
1179	1	< 0.1%
2147	1	< 0.1%
2335	1	< 0.1%
2702	1	< 0.1%
3281	1	< 0.1%
3467	1	< 0.1%
5479	1	< 0.1%
7647	1	< 0.1%
10466	1	< 0.1%

Value	Count	Frequency (%)
252905	1	< 0.1%
252904	1	< 0.1%
252903	1	< 0.1%
252901	1	< 0.1%
252900	1	< 0.1%
252899	1	< 0.1%
252898	1	< 0.1%
252893	1	< 0.1%
252892	1	< 0.1%
252891	1	< 0.1%

player_url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	18278
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

https://sofifa.com/player/158023/lionel-messi/20/159586	1
https://sofifa.com/player/247213/sibiry-keita/20/159586	1
https://sofifa.com/player/237712/valentin-castellanos/20/159586	1
https://sofifa.com/player/235633/yehvann-diouf/20/159586	1
https://sofifa.com/player/252324/rodrigo-riquelme-reche/20/159586	1
Other values (18273)	18273

Length

Max length	78
Median length	74
Mean length	58.01827333
Min length	48

Characters and Unicode

Total characters	1060458
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18278 ?
Unique (%)	100.0%

Sample

1st row	https://sofifa.com/player/158023/lionel-messi/20/159586
2nd row	https://sofifa.com/player/20801/c-ronaldo-dos-santos-aveiro/20/159586
3rd row	https://sofifa.com/player/190871/neymar-da-silva-santos-jr/20/159586
4th row	https://sofifa.com/player/200389/jan-oblak/20/159586
5th row	https://sofifa.com/player/183277/eden-hazard/20/159586

Common Values

Value	Count	Frequency (%)
https://sofifa.com/player/158023/lionel-messi/20/159586	1	< 0.1%
https://sofifa.com/player/247213/sibiry-keita/20/159586	1	< 0.1%
https://sofifa.com/player/237712/valentin-castellanos/20/159586	1	< 0.1%
https://sofifa.com/player/235633/yehvann-diouf/20/159586	1	< 0.1%
https://sofifa.com/player/252324/rodrigo-riquelme-reche/20/159586	1	< 0.1%
https://sofifa.com/player/248573/eric-junior-dina-ebimbe/20/159586	1	< 0.1%
https://sofifa.com/player/247870/nail-umyarov/20/159586	1	< 0.1%
https://sofifa.com/player/247328/unai-vencedor-paris/20/159586	1	< 0.1%
https://sofifa.com/player/246666/noah-katterbach/20/159586	1	< 0.1%
https://sofifa.com/player/240245/luis-ureta/20/159586	1	< 0.1%
Other values (18268)	18268	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://sofifa.com/player/158023/lionel-messi/20/159586	1	< 0.1%
https://sofifa.com/player/231747/kylian-mbappe/20/159586	1	< 0.1%
https://sofifa.com/player/183277/eden-hazard/20/159586	1	< 0.1%
https://sofifa.com/player/192985/kevin-de-bruyne/20/159586	1	< 0.1%
https://sofifa.com/player/192448/marc-andre-ter-stegen/20/159586	1	< 0.1%
https://sofifa.com/player/203376/virgil-van-dijk/20/159586	1	< 0.1%
https://sofifa.com/player/153079/sergio-aguero/20/159586	1	< 0.1%
https://sofifa.com/player/177003/luka-modric/20/159586	1	< 0.1%
https://sofifa.com/player/201024/kalidou-koulibaly/20/159586	1	< 0.1%
https://sofifa.com/player/190871/neymar-da-silva-santos-jr/20/159586	1	< 0.1%
Other values (18268)	18268	99.9%

Most occurring characters

Value	Count	Frequency (%)
/	127946	12.1%
a	69124	6.5%
o	56209	5.3%
s	50934	4.8%
t	45629	4.3%
5	45314	4.3%
2	43213	4.1%
e	41662	3.9%
p	39799	3.8%
f	39149	3.7%
Other values (30)	501479	47.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	616728	58.2%
Decimal Number	255802	24.1%
Other Punctuation	164502	15.5%
Dash Punctuation	23426	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	69124	11.2%
o	56209	9.1%
s	50934	8.3%
t	45629	7.4%
e	41662	6.8%
p	39799	6.5%
f	39149	6.3%
i	38516	6.2%
r	37350	6.1%
l	32493	5.3%
Other values (16)	165863	26.9%

Decimal Number

Value	Count	Frequency (%)
5	45314	17.7%
2	43213	16.9%
1	31587	12.3%
0	27439	10.7%
9	26653	10.4%
8	26442	10.3%
6	25608	10.0%
4	11133	4.4%
3	10829	4.2%
7	7584	3.0%

Other Punctuation

Value	Count	Frequency (%)
/	127946	77.8%
.	18278	11.1%
:	18278	11.1%

Dash Punctuation

Value	Count	Frequency (%)
-	23426	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	616728	58.2%
Common	443730	41.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	69124	11.2%
o	56209	9.1%
s	50934	8.3%
t	45629	7.4%
e	41662	6.8%
p	39799	6.5%
f	39149	6.3%
i	38516	6.2%
r	37350	6.1%
l	32493	5.3%
Other values (16)	165863	26.9%

Common

Value	Count	Frequency (%)
/	127946	28.8%
5	45314	10.2%
2	43213	9.7%
1	31587	7.1%
0	27439	6.2%
9	26653	6.0%
8	26442	6.0%
6	25608	5.8%
-	23426	5.3%
.	18278	4.1%
Other values (4)	47824	10.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1060458	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	127946	12.1%
a	69124	6.5%
o	56209	5.3%
s	50934	4.8%
t	45629	4.3%
5	45314	4.3%
2	43213	4.1%
e	41662	3.9%
p	39799	3.8%
f	39149	3.7%
Other values (30)	501479	47.3%

short_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	17354
Distinct (%)	94.9%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

J. Rodríguez	11
Paulinho	9
J. García	8
J. Williams	7
J. Hernández	7
Other values (17349)	18236

Length

Max length	22
Median length	20
Mean length	10.01871102
Min length	2

Characters and Unicode

Total characters	183122
Distinct characters	137
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16658 ?
Unique (%)	91.1%

Sample

1st row	L. Messi
2nd row	Cristiano Ronaldo
3rd row	Neymar Jr
4th row	J. Oblak
5th row	E. Hazard

Common Values

Value	Count	Frequency (%)
J. Rodríguez	11	0.1%
Paulinho	9	< 0.1%
J. García	8	< 0.1%
J. Williams	7	< 0.1%
J. Hernández	7	< 0.1%
J. Gómez	6	< 0.1%
J. Clarke	6	< 0.1%
J. Jones	6	< 0.1%
R. González	6	< 0.1%
M. Pedersen	5	< 0.1%
Other values (17344)	18207	99.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
m	1790	4.9%
j	1618	4.4%
a	1561	4.3%
s	1036	2.8%
d	963	2.6%
l	810	2.2%
r	785	2.1%
c	753	2.1%
f	602	1.6%
t	593	1.6%
Other values (13831)	26168	71.3%

Most occurring characters

Value	Count	Frequency (%)
	18401	10.0%
.	15294	8.4%
a	14275	7.8%
e	11522	6.3%
o	9717	5.3%
i	9566	5.2%
n	9246	5.0%
r	8913	4.9%
l	6582	3.6%
s	5472	3.0%
Other values (127)	74134	40.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	112225	61.3%
Uppercase Letter	36942	20.2%
Space Separator	18401	10.0%
Other Punctuation	15375	8.4%
Dash Punctuation	174	0.1%
Other Symbol	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	14275	12.7%
e	11522	10.3%
o	9717	8.7%
i	9566	8.5%
n	9246	8.2%
r	8913	7.9%
l	6582	5.9%
s	5472	4.9%
u	4443	4.0%
t	4108	3.7%
Other values (71)	28381	25.3%

Uppercase Letter

Value	Count	Frequency (%)
M	3730	10.1%
A	2976	8.1%
S	2901	7.9%
J	2420	6.6%
B	2186	5.9%
C	2168	5.9%
D	2054	5.6%
L	1832	5.0%
R	1798	4.9%
G	1625	4.4%
Other values (41)	13252	35.9%

Other Punctuation

Value	Count	Frequency (%)
.	15294	99.5%
'	81	0.5%

Space Separator

Value	Count	Frequency (%)
	18401	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	174	100.0%

Other Symbol

Value	Count	Frequency (%)
�	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	149167	81.5%
Common	33955	18.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	14275	9.6%
e	11522	7.7%
o	9717	6.5%
i	9566	6.4%
n	9246	6.2%
r	8913	6.0%
l	6582	4.4%
s	5472	3.7%
u	4443	3.0%
t	4108	2.8%
Other values (122)	65323	43.8%

Common

Value	Count	Frequency (%)
	18401	54.2%
.	15294	45.0%
-	174	0.5%
'	81	0.2%
�	5	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	179578	98.1%
None	3539	1.9%
Specials	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	18401	10.2%
.	15294	8.5%
a	14275	7.9%
e	11522	6.4%
o	9717	5.4%
i	9566	5.3%
n	9246	5.1%
r	8913	5.0%
l	6582	3.7%
s	5472	3.0%
Other values (46)	70590	39.3%

None

Value	Count	Frequency (%)
é	461	13.0%
á	451	12.7%
í	371	10.5%
ć	332	9.4%
ó	200	5.7%
ü	138	3.9%
ñ	134	3.8%
ö	133	3.8%
ú	87	2.5%
ã	83	2.3%
Other values (70)	1149	32.5%

Specials

Value	Count	Frequency (%)
�	5	100.0%

long_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	18218
Distinct (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

Liam Kelly	3
Mathias Jørgensen	2
Tommy Smith	2
Luke McCormick	2
Michael Smith	2
Other values (18213)	18267

Length

Max length	49
Median length	40
Mean length	15.79084145
Min length	2

Characters and Unicode

Total characters	288625
Distinct characters	1152
Distinct categories	9 ?
Distinct scripts	5 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18159 ?
Unique (%)	99.3%

Sample

1st row	Lionel Andrés Messi Cuccittini
2nd row	Cristiano Ronaldo dos Santos Aveiro
3rd row	Neymar da Silva Santos Junior
4th row	Jan Oblak
5th row	Eden Hazard

Common Values

Value	Count	Frequency (%)
Liam Kelly	3	< 0.1%
Mathias Jørgensen	2	< 0.1%
Tommy Smith	2	< 0.1%
Luke McCormick	2	< 0.1%
Michael Smith	2	< 0.1%
Daniel Jones	2	< 0.1%
Mihai Roman	2	< 0.1%
이재성 李在成	2	< 0.1%
Ladislav Krejčí	2	< 0.1%
Greg Taylor	2	< 0.1%
Other values (18208)	18257	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	250	0.6%
al	219	0.5%
daniel	209	0.5%
josé	198	0.5%
david	183	0.4%
silva	178	0.4%
carlos	154	0.4%
da	148	0.3%
juan	140	0.3%
luis	122	0.3%
Other values (19242)	41860	95.9%

Most occurring characters

Value	Count	Frequency (%)
a	28275	9.8%
	25582	8.9%
e	22179	7.7%
i	18809	6.5%
o	18618	6.5%
r	18155	6.3%
n	18083	6.3%
l	12995	4.5%
s	11241	3.9%
t	7911	2.7%
Other values (1142)	106777	37.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	216419	75.0%
Uppercase Letter	42016	14.6%
Space Separator	25583	8.9%
Other Letter	4152	1.4%
Dash Punctuation	295	0.1%
Other Punctuation	149	0.1%
Modifier Letter	8	< 0.1%
Final Punctuation	2	< 0.1%
Format	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
金	62	1.5%
김	61	1.5%
田	54	1.3%
李	50	1.2%
이	48	1.2%
大	44	1.1%
太	41	1.0%
张	33	0.8%
민	28	0.7%
也	28	0.7%
Other values (996)	3703	89.2%

Lowercase Letter

Value	Count	Frequency (%)
a	28275	13.1%
e	22179	10.2%
i	18809	8.7%
o	18618	8.6%
r	18155	8.4%
n	18083	8.4%
l	12995	6.0%
s	11241	5.2%
t	7911	3.7%
u	7704	3.6%
Other values (72)	52449	24.2%

Uppercase Letter

Value	Count	Frequency (%)
M	4429	10.5%
A	3802	9.0%
S	3264	7.8%
J	2746	6.5%
C	2578	6.1%
B	2431	5.8%
D	2317	5.5%
R	2202	5.2%
L	2039	4.9%
G	1965	4.7%
Other values (43)	14243	33.9%

Other Punctuation

Value	Count	Frequency (%)
'	100	67.1%
.	39	26.2%
·	8	5.4%
・	2	1.3%

Space Separator

Value	Count	Frequency (%)
	25582	> 99.9%
	1	< 0.1%

Modifier Letter

Value	Count	Frequency (%)
ー	6	75.0%
々	2	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	295	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Format

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	258435	89.5%
Common	26036	9.0%
Han	3204	1.1%
Hangul	906	0.3%
Katakana	44	< 0.1%

Most frequent character per script

Han

Value	Count	Frequency (%)
金	62	1.9%
田	54	1.7%
李	50	1.6%
大	44	1.4%
太	41	1.3%
张	33	1.0%
也	28	0.9%
藤	27	0.8%
木	26	0.8%
川	25	0.8%
Other values (828)	2814	87.8%

Hangul

Value	Count	Frequency (%)
김	61	6.7%
이	48	5.3%
민	28	3.1%
정	28	3.1%
박	26	2.9%
재	24	2.6%
성	24	2.6%
현	21	2.3%
승	21	2.3%
우	19	2.1%
Other values (129)	606	66.9%

Latin

Value	Count	Frequency (%)
a	28275	10.9%
e	22179	8.6%
i	18809	7.3%
o	18618	7.2%
r	18155	7.0%
n	18083	7.0%
l	12995	5.0%
s	11241	4.3%
t	7911	3.1%
u	7704	3.0%
Other values (125)	94465	36.6%

Katakana

Value	Count	Frequency (%)
イ	4	9.1%
ア	3	6.8%
リ	3	6.8%
サ	2	4.5%
ン	2	4.5%
ダ	2	4.5%
ジ	2	4.5%
ャ	2	4.5%
ル	2	4.5%
ッ	2	4.5%
Other values (20)	20	45.5%

Common

Value	Count	Frequency (%)
	25582	98.3%
-	295	1.1%
'	100	0.4%
.	39	0.1%
·	8	< 0.1%
ー	6	< 0.1%
・	2	< 0.1%
’	2	< 0.1%
	1	< 0.1%
	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	277810	96.3%
None	6653	2.3%
CJK	3201	1.1%
Hangul	906	0.3%
Katakana	52	< 0.1%
Punctuation	2	< 0.1%
CJK Compat Ideographs	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	28275	10.2%
	25582	9.2%
e	22179	8.0%
i	18809	6.8%
o	18618	6.7%
r	18155	6.5%
n	18083	6.5%
l	12995	4.7%
s	11241	4.0%
t	7911	2.8%
Other values (46)	95962	34.5%

None

Value	Count	Frequency (%)
é	1193	17.9%
á	1129	17.0%
í	896	13.5%
ó	415	6.2%
ć	340	5.1%
ú	219	3.3%
ñ	216	3.2%
ö	161	2.4%
ü	161	2.4%
Á	134	2.0%
Other values (77)	1789	26.9%

CJK

Value	Count	Frequency (%)
金	62	1.9%
田	54	1.7%
李	50	1.6%
大	44	1.4%
太	41	1.3%
张	33	1.0%
也	28	0.9%
藤	27	0.8%
木	26	0.8%
川	25	0.8%
Other values (826)	2811	87.8%

Hangul

Value	Count	Frequency (%)
김	61	6.7%
이	48	5.3%
민	28	3.1%
정	28	3.1%
박	26	2.9%
재	24	2.6%
성	24	2.6%
현	21	2.3%
승	21	2.3%
우	19	2.1%
Other values (129)	606	66.9%

Katakana

Value	Count	Frequency (%)
ー	6	11.5%
イ	4	7.7%
ア	3	5.8%
リ	3	5.8%
サ	2	3.8%
ン	2	3.8%
・	2	3.8%
ダ	2	3.8%
ジ	2	3.8%
ャ	2	3.8%
Other values (22)	24	46.2%

Punctuation

Value	Count	Frequency (%)
’	2	100.0%

CJK Compat Ideographs

Value	Count	Frequency (%)
﨑	1	100.0%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	27
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.28329139

Minimum	16
Maximum	42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	16
5-th percentile	19
Q1	22
median	25
Q3	29
95-th percentile	33
Maximum	42
Range	26
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.656964498
Coefficient of variation (CV)	0.1841913866
Kurtosis	-0.5313659318
Mean	25.28329139
Median Absolute Deviation (MAD)	4
Skewness	0.3806197608
Sum	462128
Variance	21.68731833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
22	1446	7.9%
21	1375	7.5%
23	1358	7.4%
27	1324	7.2%
25	1319	7.2%
24	1296	7.1%
26	1270	6.9%
20	1247	6.8%
28	1086	5.9%
19	1011	5.5%
Other values (17)	5546	30.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
16	12	0.1%
17	229	1.3%
18	640	3.5%
19	1011	5.5%
20	1247	6.8%
21	1375	7.5%
22	1446	7.9%
23	1358	7.4%
24	1296	7.1%
25	1319	7.2%

Value	Count	Frequency (%)
42	2	< 0.1%
41	4	< 0.1%
40	13	0.1%
39	20	0.1%
38	42	0.2%
37	81	0.4%
36	131	0.7%
35	310	1.7%
34	301	1.6%
33	475	2.6%

dob
Categorical

HIGH CARDINALITY

Distinct	6142
Distinct (%)	33.6%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

1992-02-29	113
1984-02-29	111
1988-02-29	110
1997-01-01	15
2001-01-01	13
Other values (6137)	17916

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	182780
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1683 ?
Unique (%)	9.2%

Sample

1st row	1987-06-24
2nd row	1985-02-05
3rd row	1992-02-05
4th row	1993-01-07
5th row	1991-01-07

Common Values

Value	Count	Frequency (%)
1992-02-29	113	0.6%
1984-02-29	111	0.6%
1988-02-29	110	0.6%
1997-01-01	15	0.1%
2001-01-01	13	0.1%
1995-04-19	11	0.1%
1991-01-08	11	0.1%
1997-04-09	11	0.1%
1997-03-16	11	0.1%
1990-03-27	11	0.1%
Other values (6132)	17861	97.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1992-02-29	113	0.6%
1984-02-29	111	0.6%
1988-02-29	110	0.6%
1997-01-01	15	0.1%
2001-01-01	13	0.1%
1990-03-27	11	0.1%
1993-03-05	11	0.1%
1993-01-15	11	0.1%
1994-09-08	11	0.1%
1996-11-11	11	0.1%
Other values (6132)	17861	97.7%

Most occurring characters

Value	Count	Frequency (%)
-	36556	20.0%
9	35137	19.2%
1	33229	18.2%
0	28096	15.4%
2	14016	7.7%
8	9445	5.2%
3	5790	3.2%
7	5389	2.9%
5	5051	2.8%
4	5042	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	146224	80.0%
Dash Punctuation	36556	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
9	35137	24.0%
1	33229	22.7%
0	28096	19.2%
2	14016	9.6%
8	9445	6.5%
3	5790	4.0%
7	5389	3.7%
5	5051	3.5%
4	5042	3.4%
6	5029	3.4%

Dash Punctuation

Value	Count	Frequency (%)
-	36556	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	182780	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	36556	20.0%
9	35137	19.2%
1	33229	18.2%
0	28096	15.4%
2	14016	7.7%
8	9445	5.2%
3	5790	3.2%
7	5389	2.9%
5	5051	2.8%
4	5042	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	182780	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	36556	20.0%
9	35137	19.2%
1	33229	18.2%
0	28096	15.4%
2	14016	7.7%
8	9445	5.2%
3	5790	3.2%
7	5389	2.9%
5	5051	2.8%
4	5042	2.8%

height_cm
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	49
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	181.362184

Minimum	156
Maximum	205
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	156
5-th percentile	170
Q1	177
median	181
Q3	186
95-th percentile	192
Maximum	205
Range	49
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.756961364
Coefficient of variation (CV)	0.03725672691
Kurtosis	-0.3034615282
Mean	181.362184
Median Absolute Deviation (MAD)	5
Skewness	-0.03819688576
Sum	3314938
Variance	45.65652687
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
180	1468	8.0%
178	1213	6.6%
185	1193	6.5%
183	1160	6.3%
175	990	5.4%
188	904	4.9%
182	833	4.6%
184	820	4.5%
186	774	4.2%
177	722	4.0%
Other values (39)	8201	44.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
156	1	< 0.1%
157	1	< 0.1%
158	3	< 0.1%
159	3	< 0.1%
160	3	< 0.1%
161	5	< 0.1%
162	12	0.1%
163	29	0.2%
164	21	0.1%
165	68	0.4%

Value	Count	Frequency (%)
205	1	< 0.1%
203	6	< 0.1%
202	4	< 0.1%
201	11	0.1%
200	10	0.1%
199	14	0.1%
198	35	0.2%
197	51	0.3%
196	139	0.8%
195	136	0.7%

weight_kg
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	56
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.27634314

Minimum	50
Maximum	110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	50
5-th percentile	64
Q1	70
median	75
Q3	80
95-th percentile	87
Maximum	110
Range	60
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.04774357
Coefficient of variation (CV)	0.09362494611
Kurtosis	0.04165117967
Mean	75.27634314
Median Absolute Deviation (MAD)	5
Skewness	0.2208023501
Sum	1375901
Variance	49.67068943
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	1455	8.0%
75	1410	7.7%
80	1060	5.8%
78	1005	5.5%
72	983	5.4%
73	948	5.2%
74	890	4.9%
77	880	4.8%
76	860	4.7%
68	707	3.9%
Other values (46)	8080	44.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	1	< 0.1%
52	2	< 0.1%
53	2	< 0.1%
54	6	< 0.1%
55	6	< 0.1%
56	13	0.1%
57	15	0.1%
58	35	0.2%
59	36	0.2%
60	142	0.8%

Value	Count	Frequency (%)
110	1	< 0.1%
107	1	< 0.1%
104	2	< 0.1%
103	3	< 0.1%
102	3	< 0.1%
101	4	< 0.1%
100	2	< 0.1%
99	3	< 0.1%
98	10	0.1%
97	12	0.1%

nationality
Categorical

HIGH CARDINALITY

Distinct	162
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

England	1667
Germany	1216
Spain	1035
France	984
Argentina	886
Other values (157)	12490

Length

Max length	20
Median length	19
Mean length	7.610898348
Min length	4

Characters and Unicode

Total characters	139112
Distinct characters	55
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	0.1%

Sample

1st row	Argentina
2nd row	Portugal
3rd row	Brazil
4th row	Slovenia
5th row	Belgium

Common Values

Value	Count	Frequency (%)
England	1667	9.1%
Germany	1216	6.7%
Spain	1035	5.7%
France	984	5.4%
Argentina	886	4.8%
Brazil	824	4.5%
Italy	732	4.0%
Colombia	591	3.2%
Japan	453	2.5%
Netherlands	416	2.3%
Other values (152)	9474	51.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
england	1667	7.9%
germany	1216	5.8%
spain	1035	4.9%
france	984	4.7%
argentina	886	4.2%
brazil	824	3.9%
republic	776	3.7%
italy	732	3.5%
colombia	591	2.8%
japan	453	2.1%
Other values (180)	11913	56.5%

Most occurring characters

Value	Count	Frequency (%)
a	18787	13.5%
n	13863	10.0%
e	11004	7.9%
r	9409	6.8%
i	9351	6.7%
l	8319	6.0%
o	5666	4.1%
t	5057	3.6%
d	4798	3.4%
g	4083	2.9%
Other values (45)	48775	35.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	115105	82.7%
Uppercase Letter	21190	15.2%
Space Separator	2799	2.0%
Other Punctuation	18	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	18787	16.3%
n	13863	12.0%
e	11004	9.6%
r	9409	8.2%
i	9351	8.1%
l	8319	7.2%
o	5666	4.9%
t	5057	4.4%
d	4798	4.2%
g	4083	3.5%
Other values (19)	24768	21.5%

Uppercase Letter

Value	Count	Frequency (%)
S	3040	14.3%
C	1976	9.3%
A	1941	9.2%
E	1790	8.4%
R	1632	7.7%
G	1577	7.4%
I	1377	6.5%
B	1291	6.1%
P	1180	5.6%
F	1097	5.2%
Other values (13)	4289	20.2%

Other Punctuation

Value	Count	Frequency (%)
&	14	77.8%
.	4	22.2%

Space Separator

Value	Count	Frequency (%)
	2799	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	136295	98.0%
Common	2817	2.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	18787	13.8%
n	13863	10.2%
e	11004	8.1%
r	9409	6.9%
i	9351	6.9%
l	8319	6.1%
o	5666	4.2%
t	5057	3.7%
d	4798	3.5%
g	4083	3.0%
Other values (42)	45958	33.7%

Common

Value	Count	Frequency (%)
	2799	99.4%
&	14	0.5%
.	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	139109	> 99.9%
None	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	18787	13.5%
n	13863	10.0%
e	11004	7.9%
r	9409	6.8%
i	9351	6.7%
l	8319	6.0%
o	5666	4.1%
t	5057	3.6%
d	4798	3.4%
g	4083	2.9%
Other values (42)	48772	35.1%

None

Value	Count	Frequency (%)
ã	1	33.3%
é	1	33.3%
í	1	33.3%

club
Categorical

HIGH CARDINALITY

Distinct	698
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

FC Barcelona	33
Real Valladolid CF	33
VfL Wolfsburg	33
Crystal Palace	33
Eintracht Frankfurt	33
Other values (693)	18113

Length

Max length	35
Median length	24
Mean length	13.20593063
Min length	3

Characters and Unicode

Total characters	241378
Distinct characters	102
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	FC Barcelona
2nd row	Juventus
3rd row	Paris Saint-Germain
4th row	Atlético Madrid
5th row	Real Madrid

Common Values

Value	Count	Frequency (%)
FC Barcelona	33	0.2%
Real Valladolid CF	33	0.2%
VfL Wolfsburg	33	0.2%
Crystal Palace	33	0.2%
Eintracht Frankfurt	33	0.2%
Hertha BSC	33	0.2%
Leicester City	33	0.2%
AS Monaco	33	0.2%
SC Paderborn 07	33	0.2%
Sevilla FC	33	0.2%
Other values (688)	17948	98.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
fc	3018	7.7%
de	662	1.7%
city	557	1.4%
united	551	1.4%
club	512	1.3%
al	398	1.0%
cd	376	1.0%
atlético	371	1.0%
town	303	0.8%
sk	286	0.7%
Other values (993)	32011	82.0%

Most occurring characters

Value	Count	Frequency (%)
	20792	8.6%
a	19447	8.1%
e	18639	7.7%
n	14826	6.1%
i	13441	5.6%
o	12960	5.4%
r	12895	5.3%
l	10812	4.5%
t	10755	4.5%
s	8304	3.4%
Other values (92)	98507	40.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	170029	70.4%
Uppercase Letter	47820	19.8%
Space Separator	20792	8.6%
Decimal Number	1582	0.7%
Other Punctuation	826	0.3%
Dash Punctuation	275	0.1%
Open Punctuation	27	< 0.1%
Close Punctuation	27	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	19447	11.4%
e	18639	11.0%
n	14826	8.7%
i	13441	7.9%
o	12960	7.6%
r	12895	7.6%
l	10812	6.4%
t	10755	6.3%
s	8304	4.9%
d	6300	3.7%
Other values (43)	41650	24.5%

Uppercase Letter

Value	Count	Frequency (%)
C	8071	16.9%
F	5332	11.2%
S	4938	10.3%
A	3530	7.4%
B	2230	4.7%
K	1965	4.1%
M	1856	3.9%
R	1757	3.7%
D	1733	3.6%
L	1728	3.6%
Other values (21)	14680	30.7%

Decimal Number

Value	Count	Frequency (%)
1	411	26.0%
8	258	16.3%
9	230	14.5%
0	230	14.5%
4	139	8.8%
6	112	7.1%
3	83	5.2%
5	61	3.9%
7	33	2.1%
2	25	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	652	78.9%
'	87	10.5%
&	60	7.3%
/	27	3.3%

Space Separator

Value	Count	Frequency (%)
	20792	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	275	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	27	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	217849	90.3%
Common	23529	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	19447	8.9%
e	18639	8.6%
n	14826	6.8%
i	13441	6.2%
o	12960	5.9%
r	12895	5.9%
l	10812	5.0%
t	10755	4.9%
s	8304	3.8%
C	8071	3.7%
Other values (74)	87699	40.3%

Common

Value	Count	Frequency (%)
	20792	88.4%
.	652	2.8%
1	411	1.7%
-	275	1.2%
8	258	1.1%
9	230	1.0%
0	230	1.0%
4	139	0.6%
6	112	0.5%
'	87	0.4%
Other values (8)	343	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	237765	98.5%
None	3613	1.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	20792	8.7%
a	19447	8.2%
e	18639	7.8%
n	14826	6.2%
i	13441	5.7%
o	12960	5.5%
r	12895	5.4%
l	10812	4.5%
t	10755	4.5%
s	8304	3.5%
Other values (60)	94894	39.9%

None

Value	Count	Frequency (%)
é	595	16.5%
ó	486	13.5%
ü	321	8.9%
ş	308	8.5%
ö	243	6.7%
ø	207	5.7%
á	206	5.7%
ł	134	3.7%
í	133	3.7%
ú	116	3.2%
Other values (22)	864	23.9%

overall
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	47
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66.24499398

Minimum	48
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	48
5-th percentile	54
Q1	62
median	66
Q3	71
95-th percentile	78
Maximum	94
Range	46
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.949953255
Coefficient of variation (CV)	0.1049128823
Kurtosis	0.05761583099
Mean	66.24499398
Median Absolute Deviation (MAD)	4
Skewness	0.07089343292
Sum	1210826
Variance	48.30185025
Monotonicity	Decreasing

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
66	1141	6.2%
64	1138	6.2%
65	1124	6.1%
68	1068	5.8%
67	1065	5.8%
69	964	5.3%
63	946	5.2%
70	902	4.9%
62	873	4.8%
72	753	4.1%
Other values (37)	8304	45.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
48	43	0.2%
49	66	0.4%
50	103	0.6%
51	117	0.6%
52	169	0.9%
53	197	1.1%
54	232	1.3%
55	274	1.5%
56	360	2.0%
57	360	2.0%

Value	Count	Frequency (%)
94	1	< 0.1%
93	1	< 0.1%
92	1	< 0.1%
91	3	< 0.1%
90	4	< 0.1%
89	13	0.1%
88	17	0.1%
87	15	0.1%
86	18	0.1%
85	35	0.2%

potential
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	47
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.54688697

Minimum	49
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	49
5-th percentile	62
Q1	67
median	71
Q3	75
95-th percentile	82.15
Maximum	95
Range	46
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.139669075
Coefficient of variation (CV)	0.08581322452
Kurtosis	-0.0188951529
Mean	71.54688697
Median Absolute Deviation (MAD)	4
Skewness	0.2499407813
Sum	1307734
Variance	37.69553635
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	1226	6.7%
68	1195	6.5%
73	1140	6.2%
72	1131	6.2%
71	1118	6.1%
69	1111	6.1%
74	1022	5.6%
67	987	5.4%
75	972	5.3%
66	882	4.8%
Other values (37)	7494	41.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
49	2	< 0.1%
50	2	< 0.1%
51	4	< 0.1%
52	3	< 0.1%
53	6	< 0.1%
54	7	< 0.1%
55	17	0.1%
56	26	0.1%
57	43	0.2%
58	68	0.4%

Value	Count	Frequency (%)
95	1	< 0.1%
94	1	< 0.1%
93	5	< 0.1%
92	7	< 0.1%
91	9	< 0.1%
90	16	0.1%
89	37	0.2%
88	45	0.2%
87	70	0.4%
86	116	0.6%

value_eur
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	214
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2484037.641

Minimum	0
Maximum	105500000
Zeros	250
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	0
5-th percentile	90000
Q1	325000
median	700000
Q3	2100000
95-th percentile	10500000
Maximum	105500000
Range	105500000
Interquartile range (IQR)	1775000

Descriptive statistics

Standard deviation	5585481.061
Coefficient of variation (CV)	2.248549285
Kurtosis	62.10486776
Mean	2484037.641
Median Absolute Deviation (MAD)	500000
Skewness	6.425940918
Sum	4.540324 × 10¹⁰
Variance	3.119759869 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1100000	491	2.7%
325000	384	2.1%
450000	358	2.0%
1200000	346	1.9%
425000	339	1.9%
1000000	325	1.8%
525000	322	1.8%
375000	317	1.7%
400000	313	1.7%
475000	312	1.7%
Other values (204)	14771	80.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	250	1.4%
10000	4	< 0.1%
20000	8	< 0.1%
30000	28	0.2%
40000	52	0.3%
50000	110	0.6%
60000	140	0.8%
70000	97	0.5%
80000	134	0.7%
90000	131	0.7%

Value	Count	Frequency (%)
105500000	1	< 0.1%
95500000	1	< 0.1%
93500000	1	< 0.1%
90000000	2	< 0.1%
83000000	1	< 0.1%
80500000	1	< 0.1%
78000000	1	< 0.1%
77500000	1	< 0.1%
76500000	1	< 0.1%
73000000	1	< 0.1%

wage_eur
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	141
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9456.942773

Minimum	0
Maximum	565000
Zeros	240
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	0
5-th percentile	1000
Q1	1000
median	3000
Q3	8000
95-th percentile	38000
Maximum	565000
Range	565000
Interquartile range (IQR)	7000

Descriptive statistics

Standard deviation	21351.7141
Coefficient of variation (CV)	2.257781887
Kurtosis	100.3378562
Mean	9456.942773
Median Absolute Deviation (MAD)	2000
Skewness	7.821095908
Sum	172854000
Variance	455895694.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	4976	27.2%
2000	2967	16.2%
3000	1825	10.0%
4000	1303	7.1%
5000	891	4.9%
6000	639	3.5%
7000	548	3.0%
8000	439	2.4%
9000	330	1.8%
10000	283	1.5%
Other values (131)	4077	22.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	240	1.3%
1000	4976	27.2%
2000	2967	16.2%
3000	1825	10.0%
4000	1303	7.1%
5000	891	4.9%
6000	639	3.5%
7000	548	3.0%
8000	439	2.4%
9000	330	1.8%

Value	Count	Frequency (%)
565000	1	< 0.1%
470000	1	< 0.1%
405000	1	< 0.1%
370000	2	< 0.1%
355000	1	< 0.1%
340000	1	< 0.1%
330000	1	< 0.1%
300000	3	< 0.1%
290000	1	< 0.1%
285000	2	< 0.1%

player_positions
Categorical

HIGH CARDINALITY

Distinct	643
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

CB	2322
GK	2036
ST	1809
CM	786
CDM, CM	731
Other values (638)	10594

Length

Max length	12
Median length	11
Mean length	4.751230988
Min length	2

Characters and Unicode

Total characters	86843
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	217 ?
Unique (%)	1.2%

Sample

1st row	RW, CF, ST
2nd row	ST, LW
3rd row	LW, CAM
4th row	GK
5th row	LW, CF

Common Values

Value	Count	Frequency (%)
CB	2322	12.7%
GK	2036	11.1%
ST	1809	9.9%
CM	786	4.3%
CDM, CM	731	4.0%
CM, CDM	682	3.7%
LB	669	3.7%
RB	587	3.2%
CDM	363	2.0%
CAM	291	1.6%
Other values (633)	8002	43.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cm	3829	13.0%
cb	3736	12.7%
st	3255	11.0%
cdm	2728	9.3%
lm	2409	8.2%
rm	2315	7.9%
cam	2190	7.4%
gk	2036	6.9%
lb	2012	6.8%
rb	2005	6.8%
Other values (5)	2952	10.0%

Most occurring characters

Value	Count	Frequency (%)
M	13471	15.5%
C	12863	14.8%
,	11189	12.9%
	11189	12.9%
B	8366	9.6%
L	5717	6.6%
R	5596	6.4%
S	3255	3.7%
T	3255	3.7%
D	2728	3.1%
Other values (5)	9214	10.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	64465	74.2%
Other Punctuation	11189	12.9%
Space Separator	11189	12.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	13471	20.9%
C	12863	20.0%
B	8366	13.0%
L	5717	8.9%
R	5596	8.7%
S	3255	5.0%
T	3255	5.0%
D	2728	4.2%
W	2572	4.0%
A	2190	3.4%
Other values (3)	4452	6.9%

Other Punctuation

Value	Count	Frequency (%)
,	11189	100.0%

Space Separator

Value	Count	Frequency (%)
	11189	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64465	74.2%
Common	22378	25.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	13471	20.9%
C	12863	20.0%
B	8366	13.0%
L	5717	8.9%
R	5596	8.7%
S	3255	5.0%
T	3255	5.0%
D	2728	4.2%
W	2572	4.0%
A	2190	3.4%
Other values (3)	4452	6.9%

Common

Value	Count	Frequency (%)
,	11189	50.0%
	11189	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	86843	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
M	13471	15.5%
C	12863	14.8%
,	11189	12.9%
	11189	12.9%
B	8366	9.6%
L	5717	6.6%
R	5596	6.4%
S	3255	3.7%
T	3255	3.7%
D	2728	3.1%
Other values (5)	9214	10.6%

preferred_foot
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

Right	13960
Left	4318

Length

Max length	5
Median length	5
Mean length	4.763759711
Min length	4

Characters and Unicode

Total characters	87072
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Left
2nd row	Right
3rd row	Right
4th row	Right
5th row	Right

Common Values

Value	Count	Frequency (%)
Right	13960	76.4%
Left	4318	23.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
right	13960	76.4%
left	4318	23.6%

Most occurring characters

Value	Count	Frequency (%)
t	18278	21.0%
R	13960	16.0%
i	13960	16.0%
g	13960	16.0%
h	13960	16.0%
L	4318	5.0%
e	4318	5.0%
f	4318	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	68794	79.0%
Uppercase Letter	18278	21.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	18278	26.6%
i	13960	20.3%
g	13960	20.3%
h	13960	20.3%
e	4318	6.3%
f	4318	6.3%

Uppercase Letter

Value	Count	Frequency (%)
R	13960	76.4%
L	4318	23.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87072	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	18278	21.0%
R	13960	16.0%
i	13960	16.0%
g	13960	16.0%
h	13960	16.0%
L	4318	5.0%
e	4318	5.0%
f	4318	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	87072	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	18278	21.0%
R	13960	16.0%
i	13960	16.0%
g	13960	16.0%
h	13960	16.0%
L	4318	5.0%
e	4318	5.0%
f	4318	5.0%

international_reputation
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

1	16794
2	1140
3	292
4	46
5	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	18278
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	3
5th row	4

Common Values

Value	Count	Frequency (%)
1	16794	91.9%
2	1140	6.2%
3	292	1.6%
4	46	0.3%
5	6	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	16794	91.9%
2	1140	6.2%
3	292	1.6%
4	46	0.3%
5	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	16794	91.9%
2	1140	6.2%
3	292	1.6%
4	46	0.3%
5	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18278	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	16794	91.9%
2	1140	6.2%
3	292	1.6%
4	46	0.3%
5	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	18278	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	16794	91.9%
2	1140	6.2%
3	292	1.6%
4	46	0.3%
5	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18278	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	16794	91.9%
2	1140	6.2%
3	292	1.6%
4	46	0.3%
5	6	< 0.1%

weak_foot
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

3	11347
2	3865
4	2666
5	245
1	155

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	18278
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	5
4th row	3
5th row	4

Common Values

Value	Count	Frequency (%)
3	11347	62.1%
2	3865	21.1%
4	2666	14.6%
5	245	1.3%
1	155	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	11347	62.1%
2	3865	21.1%
4	2666	14.6%
5	245	1.3%
1	155	0.8%

Most occurring characters

Value	Count	Frequency (%)
3	11347	62.1%
2	3865	21.1%
4	2666	14.6%
5	245	1.3%
1	155	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18278	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	11347	62.1%
2	3865	21.1%
4	2666	14.6%
5	245	1.3%
1	155	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	18278	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	11347	62.1%
2	3865	21.1%
4	2666	14.6%
5	245	1.3%
1	155	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18278	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	11347	62.1%
2	3865	21.1%
4	2666	14.6%
5	245	1.3%
1	155	0.8%

skill_moves
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

2	8617
3	6536
1	2036
4	1040
5	49

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	18278
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	5
3rd row	5
4th row	1
5th row	4

Common Values

Value	Count	Frequency (%)
2	8617	47.1%
3	6536	35.8%
1	2036	11.1%
4	1040	5.7%
5	49	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	8617	47.1%
3	6536	35.8%
1	2036	11.1%
4	1040	5.7%
5	49	0.3%

Most occurring characters

Value	Count	Frequency (%)
2	8617	47.1%
3	6536	35.8%
1	2036	11.1%
4	1040	5.7%
5	49	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	18278	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	8617	47.1%
3	6536	35.8%
1	2036	11.1%
4	1040	5.7%
5	49	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	18278	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	8617	47.1%
3	6536	35.8%
1	2036	11.1%
4	1040	5.7%
5	49	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18278	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	8617	47.1%
3	6536	35.8%
1	2036	11.1%
4	1040	5.7%
5	49	0.3%

work_rate
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

Medium/Medium	9875
High/Medium	3216
Medium/High	1718
High/High	986
Medium/Low	886
Other values (4)	1597

Length

Max length	13
Median length	13
Mean length	11.71058103
Min length	7

Characters and Unicode

Total characters	214046
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medium/Low
2nd row	High/Low
3rd row	High/Medium
4th row	Medium/Medium
5th row	High/Medium

Common Values

Value	Count	Frequency (%)
Medium/Medium	9875	54.0%
High/Medium	3216	17.6%
Medium/High	1718	9.4%
High/High	986	5.4%
Medium/Low	886	4.8%
High/Low	684	3.7%
Low/Medium	461	2.5%
Low/High	417	2.3%
Low/Low	35	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
medium/medium	9875	54.0%
high/medium	3216	17.6%
medium/high	1718	9.4%
high/high	986	5.4%
medium/low	886	4.8%
high/low	684	3.7%
low/medium	461	2.5%
low/high	417	2.3%
low/low	35	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	34038	15.9%
M	26031	12.2%
e	26031	12.2%
d	26031	12.2%
u	26031	12.2%
m	26031	12.2%
/	18278	8.5%
H	8007	3.7%
g	8007	3.7%
h	8007	3.7%
Other values (3)	7554	3.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	159212	74.4%
Uppercase Letter	36556	17.1%
Other Punctuation	18278	8.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	34038	21.4%
e	26031	16.3%
d	26031	16.3%
u	26031	16.3%
m	26031	16.3%
g	8007	5.0%
h	8007	5.0%
o	2518	1.6%
w	2518	1.6%

Uppercase Letter

Value	Count	Frequency (%)
M	26031	71.2%
H	8007	21.9%
L	2518	6.9%

Other Punctuation

Value	Count	Frequency (%)
/	18278	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	195768	91.5%
Common	18278	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	34038	17.4%
M	26031	13.3%
e	26031	13.3%
d	26031	13.3%
u	26031	13.3%
m	26031	13.3%
H	8007	4.1%
g	8007	4.1%
h	8007	4.1%
L	2518	1.3%
Other values (2)	5036	2.6%

Common

Value	Count	Frequency (%)
/	18278	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	214046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	34038	15.9%
M	26031	12.2%
e	26031	12.2%
d	26031	12.2%
u	26031	12.2%
m	26031	12.2%
/	18278	8.5%
H	8007	3.7%
g	8007	3.7%
h	8007	3.7%
Other values (3)	7554	3.5%

body_type
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

Normal	10750
Lean	6505
Stocky	1016
Messi	1
C. Ronaldo	1
Other values (5)	5

Length

Max length	19
Median length	6
Mean length	5.289418974
Min length	4

Characters and Unicode

Total characters	96680
Distinct characters	38
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	Messi
2nd row	C. Ronaldo
3rd row	Neymar
4th row	Normal
5th row	Normal

Common Values

Value	Count	Frequency (%)
Normal	10750	58.8%
Lean	6505	35.6%
Stocky	1016	5.6%
Messi	1	< 0.1%
C. Ronaldo	1	< 0.1%
Neymar	1	< 0.1%
PLAYER_BODY_TYPE_25	1	< 0.1%
Courtois	1	< 0.1%
Shaqiri	1	< 0.1%
Akinfenwa	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normal	10750	58.8%
lean	6505	35.6%
stocky	1016	5.6%
messi	1	< 0.1%
c	1	< 0.1%
ronaldo	1	< 0.1%
neymar	1	< 0.1%
player_body_type_25	1	< 0.1%
courtois	1	< 0.1%
shaqiri	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
a	17259	17.9%
o	11770	12.2%
r	10753	11.1%
N	10751	11.1%
m	10751	11.1%
l	10751	11.1%
e	6508	6.7%
n	6508	6.7%
L	6506	6.7%
S	1017	1.1%
Other values (28)	4106	4.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	78381	81.1%
Uppercase Letter	18292	18.9%
Connector Punctuation	3	< 0.1%
Decimal Number	2	< 0.1%
Space Separator	1	< 0.1%
Other Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	17259	22.0%
o	11770	15.0%
r	10753	13.7%
m	10751	13.7%
l	10751	13.7%
e	6508	8.3%
n	6508	8.3%
t	1017	1.3%
k	1017	1.3%
y	1017	1.3%
Other values (9)	1030	1.3%

Uppercase Letter

Value	Count	Frequency (%)
N	10751	58.8%
L	6506	35.6%
S	1017	5.6%
Y	3	< 0.1%
C	2	< 0.1%
R	2	< 0.1%
P	2	< 0.1%
A	2	< 0.1%
E	2	< 0.1%
T	1	< 0.1%
Other values (4)	4	< 0.1%

Decimal Number

Value	Count	Frequency (%)
5	1	50.0%
2	1	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	96673	> 99.9%
Common	7	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	17259	17.9%
o	11770	12.2%
r	10753	11.1%
N	10751	11.1%
m	10751	11.1%
l	10751	11.1%
e	6508	6.7%
n	6508	6.7%
L	6506	6.7%
S	1017	1.1%
Other values (23)	4099	4.2%

Common

Value	Count	Frequency (%)
_	3	42.9%
5	1	14.3%
2	1	14.3%
	1	14.3%
.	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	96680	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	17259	17.9%
o	11770	12.2%
r	10753	11.1%
N	10751	11.1%
m	10751	11.1%
l	10751	11.1%
e	6508	6.7%
n	6508	6.7%
L	6506	6.7%
S	1017	1.1%
Other values (28)	4106	4.2%

real_face
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	18.0 KiB

False	16310
True	1968

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	16310	89.2%
True	1968	10.8%

release_clause_eur
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	1224
Distinct (%)	7.2%
Missing	1298
Missing (%)	7.1%
Infinite	0
Infinite (%)	0.0%
Mean	4740717.432

Minimum	13000
Maximum	195800000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	13000
5-th percentile	180000
Q1	563000
median	1200000
Q3	3700000
95-th percentile	20400000
Maximum	195800000
Range	195787000
Interquartile range (IQR)	3137000

Descriptive statistics

Standard deviation	11030016.29
Coefficient of variation (CV)	2.326655501
Kurtosis	62.70264411
Mean	4740717.432
Median Absolute Deviation (MAD)	843000
Skewness	6.460915827
Sum	8.0497382 × 10¹⁰
Variance	1.216612594 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1100000	535	2.9%
1300000	447	2.4%
1200000	402	2.2%
1400000	394	2.2%
1500000	344	1.9%
1600000	330	1.8%
1700000	324	1.8%
1000000	308	1.7%
1800000	245	1.3%
1900000	222	1.2%
Other values (1214)	13429	73.5%
(Missing)	1298	7.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13000	2	< 0.1%
18000	2	< 0.1%
25000	1	< 0.1%
29000	1	< 0.1%
31000	2	< 0.1%
33000	3	< 0.1%
35000	1	< 0.1%
38000	2	< 0.1%
40000	1	< 0.1%
41000	1	< 0.1%

Value	Count	Frequency (%)
195800000	1	< 0.1%
195200000	1	< 0.1%
191700000	1	< 0.1%
184500000	1	< 0.1%
166500000	1	< 0.1%
164700000	1	< 0.1%
159800000	1	< 0.1%
150200000	1	< 0.1%
148900000	1	< 0.1%
143400000	1	< 0.1%

player_tags
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	83
Distinct (%)	5.5%
Missing	16779
Missing (%)	91.8%
Memory size	142.9 KiB

#Strength	514
#Acrobat	238
#Engine	209
#Speedster	156
#Speedster, #Acrobat	66
Other values (78)	316

Length

Max length	132
Median length	129
Mean length	12.56571047
Min length	7

Characters and Unicode

Total characters	18836
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49 ?
Unique (%)	3.3%

Sample

1st row	#Dribbler, #Distance Shooter, #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete Forward
2nd row	#Speedster, #Dribbler, #Distance Shooter, #Acrobat, #Clinical Finisher, #Complete Forward
3rd row	#Speedster, #Dribbler, #Playmaker , #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete Midfielder, #Complete Forward
4th row	#Speedster, #Dribbler, #Acrobat
5th row	#Dribbler, #Playmaker , #Engine, #Distance Shooter, #Crosser, #Complete Midfielder

Common Values

Value	Count	Frequency (%)
#Strength	514	2.8%
#Acrobat	238	1.3%
#Engine	209	1.1%
#Speedster	156	0.9%
#Speedster, #Acrobat	66	0.4%
#Aerial Threat, #Strength	62	0.3%
#Aerial Threat	33	0.2%
#Dribbler	30	0.2%
#Speedster, #Dribbler, #Acrobat	19	0.1%
#Tackling , #Tactician	15	0.1%
Other values (73)	157	0.9%
(Missing)	16779	91.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
strength	594	27.5%
acrobat	362	16.7%
speedster	257	11.9%
engine	239	11.0%
aerial	101	4.7%
threat	101	4.7%
dribbler	95	4.4%
	53	2.5%
complete	40	1.8%
tactician	36	1.7%
Other values (13)	285	13.2%

Most occurring characters

Value	Count	Frequency (%)
e	2203	11.7%
t	2054	10.9%
#	1897	10.1%
r	1807	9.6%
n	1211	6.4%
S	900	4.8%
g	862	4.6%
a	823	4.4%
h	750	4.0%
i	741	3.9%
Other values (24)	5588	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13667	72.6%
Other Punctuation	2295	12.2%
Uppercase Letter	2138	11.4%
Space Separator	736	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2203	16.1%
t	2054	15.0%
r	1807	13.2%
n	1211	8.9%
g	862	6.3%
a	823	6.0%
h	750	5.5%
i	741	5.4%
b	552	4.0%
c	546	4.0%
Other values (10)	2118	15.5%

Uppercase Letter

Value	Count	Frequency (%)
S	900	42.1%
A	463	21.7%
E	239	11.2%
T	166	7.8%
D	123	5.8%
C	94	4.4%
F	66	3.1%
P	41	1.9%
K	28	1.3%
M	18	0.8%

Other Punctuation

Value	Count	Frequency (%)
#	1897	82.7%
,	398	17.3%

Space Separator

Value	Count	Frequency (%)
	641	87.1%
	95	12.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15805	83.9%
Common	3031	16.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2203	13.9%
t	2054	13.0%
r	1807	11.4%
n	1211	7.7%
S	900	5.7%
g	862	5.5%
a	823	5.2%
h	750	4.7%
i	741	4.7%
b	552	3.5%
Other values (20)	3902	24.7%

Common

Value	Count	Frequency (%)
#	1897	62.6%
	641	21.1%
,	398	13.1%
	95	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18741	99.5%
None	95	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	2203	11.8%
t	2054	11.0%
#	1897	10.1%
r	1807	9.6%
n	1211	6.5%
S	900	4.8%
g	862	4.6%
a	823	4.4%
h	750	4.0%
i	741	4.0%
Other values (23)	5493	29.3%

None

Value	Count	Frequency (%)
	95	100.0%

team_position
Categorical

HIGH CORRELATION
MISSING

Distinct	29
Distinct (%)	0.2%
Missing	240
Missing (%)	1.3%
Memory size	142.9 KiB

SUB	7820
RES	2958
GK	662
LCB	660
RCB	660
Other values (24)	5278

Length

Max length	3
Median length	3
Mean length	2.779465573
Min length	2

Characters and Unicode

Total characters	50136
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RW
2nd row	LW
3rd row	CAM
4th row	GK
5th row	LW

Common Values

Value	Count	Frequency (%)
SUB	7820	42.8%
RES	2958	16.2%
GK	662	3.6%
LCB	660	3.6%
RCB	660	3.6%
RB	560	3.1%
LB	560	3.1%
ST	458	2.5%
RCM	411	2.2%
LCM	411	2.2%
Other values (19)	2878	15.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sub	7820	43.4%
res	2958	16.4%
gk	662	3.7%
lcb	660	3.7%
rcb	660	3.7%
rb	560	3.1%
lb	560	3.1%
st	458	2.5%
rcm	411	2.3%
lcm	411	2.3%
Other values (19)	2878	16.0%

Most occurring characters

Value	Count	Frequency (%)
S	11626	23.2%
B	10476	20.9%
U	7820	15.6%
R	5688	11.3%
E	2958	5.9%
C	2824	5.6%
L	2728	5.4%
M	2719	5.4%
D	667	1.3%
G	662	1.3%
Other values (5)	1968	3.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	50136	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	11626	23.2%
B	10476	20.9%
U	7820	15.6%
R	5688	11.3%
E	2958	5.9%
C	2824	5.6%
L	2728	5.4%
M	2719	5.4%
D	667	1.3%
G	662	1.3%
Other values (5)	1968	3.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50136	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	11626	23.2%
B	10476	20.9%
U	7820	15.6%
R	5688	11.3%
E	2958	5.9%
C	2824	5.6%
L	2728	5.4%
M	2719	5.4%
D	667	1.3%
G	662	1.3%
Other values (5)	1968	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50136	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	11626	23.2%
B	10476	20.9%
U	7820	15.6%
R	5688	11.3%
E	2958	5.9%
C	2824	5.6%
L	2728	5.4%
M	2719	5.4%
D	667	1.3%
G	662	1.3%
Other values (5)	1968	3.9%

team_jersey_number
Real number (ℝ_≥0)

MISSING

Distinct	99
Distinct (%)	0.5%
Missing	240
Missing (%)	1.3%
Infinite	0
Infinite (%)	0.0%
Mean	20.10389178

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	9
median	17
Q3	27
95-th percentile	45
Maximum	99
Range	98
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	16.60363935
Coefficient of variation (CV)	0.825891799
Kurtosis	6.444938363
Mean	20.10389178
Median Absolute Deviation (MAD)	9
Skewness	2.126464372
Sum	362634
Variance	275.6808398
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	599	3.3%
8	596	3.3%
11	582	3.2%
10	581	3.2%
5	580	3.2%
9	577	3.2%
1	575	3.1%
6	565	3.1%
4	553	3.0%
17	541	3.0%
Other values (89)	12289	67.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	575	3.1%
2	499	2.7%
3	526	2.9%
4	553	3.0%
5	580	3.2%
6	565	3.1%
7	599	3.3%
8	596	3.3%
9	577	3.2%
10	581	3.2%

Value	Count	Frequency (%)
99	73	0.4%
98	21	0.1%
97	23	0.1%
96	11	0.1%
95	18	0.1%
94	13	0.1%
93	15	0.1%
92	20	0.1%
91	18	0.1%
90	22	0.1%

loaned_from
Categorical

HIGH CARDINALITY
MISSING

Distinct	316
Distinct (%)	30.2%
Missing	17230
Missing (%)	94.3%
Memory size	142.9 KiB

Atalanta	17
Sassuolo	17
Inter	14
SL Benfica	14
Genoa	13
Other values (311)	973

Length

Max length	30
Median length	21
Mean length	12.66507634
Min length	3

Characters and Unicode

Total characters	13273
Distinct characters	86
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	112 ?
Unique (%)	10.7%

Sample

1st row	FC Barcelona
2nd row	Inter
3rd row	Real Betis
4th row	Chelsea
5th row	Inter

Common Values

Value	Count	Frequency (%)
Atalanta	17	0.1%
Sassuolo	17	0.1%
Inter	14	0.1%
SL Benfica	14	0.1%
Genoa	13	0.1%
Racing Club	13	0.1%
Chelsea	12	0.1%
Real Madrid	12	0.1%
Manchester City	12	0.1%
AS Monaco	12	0.1%
Other values (306)	912	5.0%
(Missing)	17230	94.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
fc	131	6.2%
city	55	2.6%
club	47	2.2%
united	44	2.1%
de	38	1.8%
atlético	27	1.3%
real	26	1.2%
cf	26	1.2%
manchester	18	0.8%
al	18	0.8%
Other values (475)	1689	79.7%

Most occurring characters

Value	Count	Frequency (%)
a	1120	8.4%
	1071	8.1%
e	1047	7.9%
n	793	6.0%
i	772	5.8%
o	753	5.7%
r	719	5.4%
t	664	5.0%
l	656	4.9%
C	435	3.3%
Other values (76)	5243	39.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9473	71.4%
Uppercase Letter	2539	19.1%
Space Separator	1071	8.1%
Other Punctuation	86	0.6%
Decimal Number	76	0.6%
Dash Punctuation	18	0.1%
Close Punctuation	5	< 0.1%
Open Punctuation	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1120	11.8%
e	1047	11.1%
n	793	8.4%
i	772	8.1%
o	753	7.9%
r	719	7.6%
t	664	7.0%
l	656	6.9%
s	433	4.6%
d	372	3.9%
Other values (33)	2144	22.6%

Uppercase Letter

Value	Count	Frequency (%)
C	435	17.1%
S	279	11.0%
F	230	9.1%
A	196	7.7%
B	164	6.5%
L	132	5.2%
R	119	4.7%
M	115	4.5%
V	90	3.5%
U	88	3.5%
Other values (17)	691	27.2%

Decimal Number

Value	Count	Frequency (%)
1	25	32.9%
9	19	25.0%
8	11	14.5%
0	8	10.5%
4	6	7.9%
6	2	2.6%
5	2	2.6%
3	2	2.6%
7	1	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	69	80.2%
&	14	16.3%
'	3	3.5%

Space Separator

Value	Count	Frequency (%)
	1071	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12012	90.5%
Common	1261	9.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1120	9.3%
e	1047	8.7%
n	793	6.6%
i	772	6.4%
o	753	6.3%
r	719	6.0%
t	664	5.5%
l	656	5.5%
C	435	3.6%
s	433	3.6%
Other values (60)	4620	38.5%

Common

Value	Count	Frequency (%)
	1071	84.9%
.	69	5.5%
1	25	2.0%
9	19	1.5%
-	18	1.4%
&	14	1.1%
8	11	0.9%
0	8	0.6%
4	6	0.5%
)	5	0.4%
Other values (6)	15	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13142	99.0%
None	131	1.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1120	8.5%
	1071	8.1%
e	1047	8.0%
n	793	6.0%
i	772	5.9%
o	753	5.7%
r	719	5.5%
t	664	5.1%
l	656	5.0%
C	435	3.3%
Other values (57)	5112	38.9%

None

Value	Count	Frequency (%)
é	46	35.1%
ó	17	13.0%
ö	13	9.9%
ş	9	6.9%
ü	8	6.1%
ú	6	4.6%
ã	5	3.8%
á	5	3.8%
É	4	3.1%
å	3	2.3%
Other values (9)	15	11.5%

joined
Categorical

HIGH CARDINALITY
MISSING

Distinct	1760
Distinct (%)	10.4%
Missing	1288
Missing (%)	7.0%
Memory size	142.9 KiB

2019-07-01	1465
2018-07-01	1213
2017-07-01	750
2016-07-01	434
2015-07-01	272
Other values (1755)	12856

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	169900
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	663 ?
Unique (%)	3.9%

Sample

1st row	2004-07-01
2nd row	2018-07-10
3rd row	2017-08-03
4th row	2014-07-16
5th row	2019-07-01

Common Values

Value	Count	Frequency (%)
2019-07-01	1465	8.0%
2018-07-01	1213	6.6%
2017-07-01	750	4.1%
2016-07-01	434	2.4%
2015-07-01	272	1.5%
2018-01-01	262	1.4%
2019-01-01	249	1.4%
2014-07-01	171	0.9%
2019-07-03	150	0.8%
2019-07-08	147	0.8%
Other values (1750)	11877	65.0%
(Missing)	1288	7.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2019-07-01	1465	8.6%
2018-07-01	1213	7.1%
2017-07-01	750	4.4%
2016-07-01	434	2.6%
2015-07-01	272	1.6%
2018-01-01	262	1.5%
2019-01-01	249	1.5%
2014-07-01	171	1.0%
2019-07-03	150	0.9%
2019-07-08	147	0.9%
Other values (1750)	11877	69.9%

Most occurring characters

Value	Count	Frequency (%)
0	44824	26.4%
-	33980	20.0%
1	32216	19.0%
2	22270	13.1%
7	11998	7.1%
8	7491	4.4%
9	6960	4.1%
6	3305	1.9%
3	2704	1.6%
5	2360	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	135920	80.0%
Dash Punctuation	33980	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	44824	33.0%
1	32216	23.7%
2	22270	16.4%
7	11998	8.8%
8	7491	5.5%
9	6960	5.1%
6	3305	2.4%
3	2704	2.0%
5	2360	1.7%
4	1792	1.3%

Dash Punctuation

Value	Count	Frequency (%)
-	33980	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	169900	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	44824	26.4%
-	33980	20.0%
1	32216	19.0%
2	22270	13.1%
7	11998	7.1%
8	7491	4.4%
9	6960	4.1%
6	3305	1.9%
3	2704	1.6%
5	2360	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	169900	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	44824	26.4%
-	33980	20.0%
1	32216	19.0%
2	22270	13.1%
7	11998	7.1%
8	7491	4.4%
9	6960	4.1%
6	3305	1.9%
3	2704	1.6%
5	2360	1.4%

contract_valid_until
Real number (ℝ_≥0)

MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	240
Missing (%)	1.3%
Infinite	0
Infinite (%)	0.0%
Mean	2021.114591

Minimum	2019
Maximum	2026
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	2019
5-th percentile	2019
Q1	2020
median	2021
Q3	2022
95-th percentile	2024
Maximum	2026
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.289887561
Coefficient of variation (CV)	0.0006382060506
Kurtosis	-0.4723309143
Mean	2021.114591
Median Absolute Deviation (MAD)	1
Skewness	0.5054369045
Sum	36456865
Variance	1.663809921
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2020	6131	33.5%
2021	4133	22.6%
2022	3982	21.8%
2023	1740	9.5%
2019	1088	6.0%
2024	947	5.2%
2025	14	0.1%
2026	3	< 0.1%
(Missing)	240	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2019	1088	6.0%
2020	6131	33.5%
2021	4133	22.6%
2022	3982	21.8%
2023	1740	9.5%
2024	947	5.2%
2025	14	0.1%
2026	3	< 0.1%

Value	Count	Frequency (%)
2026	3	< 0.1%
2025	14	0.1%
2024	947	5.2%
2023	1740	9.5%
2022	3982	21.8%
2021	4133	22.6%
2020	6131	33.5%
2019	1088	6.0%

nation_position
Categorical

HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	2.3%
Missing	17152
Missing (%)	93.8%
Memory size	142.9 KiB

SUB	587
GK	49
LCB	49
RCB	49
RB	46
Other values (21)	346

Length

Max length	3
Median length	3
Mean length	2.73357016
Min length	2

Characters and Unicode

Total characters	3078
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.4%

Sample

1st row	LS
2nd row	LW
3rd row	GK
4th row	LF
5th row	RCM

Common Values

Value	Count	Frequency (%)
SUB	587	3.2%
GK	49	0.3%
LCB	49	0.3%
RCB	49	0.3%
RB	46	0.3%
LB	46	0.3%
ST	43	0.2%
RCM	36	0.2%
LCM	36	0.2%
LM	29	0.2%
Other values (16)	156	0.9%
(Missing)	17152	93.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sub	587	52.1%
lcb	49	4.4%
rcb	49	4.4%
gk	49	4.4%
rb	46	4.1%
lb	46	4.1%
st	43	3.8%
rcm	36	3.2%
lcm	36	3.2%
lm	29	2.6%
Other values (16)	156	13.9%

Most occurring characters

Value	Count	Frequency (%)
B	782	25.4%
S	642	20.9%
U	587	19.1%
C	219	7.1%
L	199	6.5%
R	199	6.5%
M	199	6.5%
G	49	1.6%
K	49	1.6%
D	45	1.5%
Other values (4)	108	3.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3078	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	782	25.4%
S	642	20.9%
U	587	19.1%
C	219	7.1%
L	199	6.5%
R	199	6.5%
M	199	6.5%
G	49	1.6%
K	49	1.6%
D	45	1.5%
Other values (4)	108	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3078	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	782	25.4%
S	642	20.9%
U	587	19.1%
C	219	7.1%
L	199	6.5%
R	199	6.5%
M	199	6.5%
G	49	1.6%
K	49	1.6%
D	45	1.5%
Other values (4)	108	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3078	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	782	25.4%
S	642	20.9%
U	587	19.1%
C	219	7.1%
L	199	6.5%
R	199	6.5%
M	199	6.5%
G	49	1.6%
K	49	1.6%
D	45	1.5%
Other values (4)	108	3.5%

nation_jersey_number
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	30
Distinct (%)	2.7%
Missing	17152
Missing (%)	93.8%
Infinite	0
Infinite (%)	0.0%
Mean	12.11456483

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	12
Q3	18
95-th percentile	22.75
Maximum	30
Range	29
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.73592169
Coefficient of variation (CV)	0.5560184607
Kurtosis	-1.139391255
Mean	12.11456483
Median Absolute Deviation (MAD)	6
Skewness	0.0263845671
Sum	13641
Variance	45.37264101
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
21	49	0.3%
12	49	0.3%
20	49	0.3%
23	49	0.3%
17	49	0.3%
19	49	0.3%
18	49	0.3%
2	49	0.3%
6	49	0.3%
14	49	0.3%
Other values (20)	636	3.5%
(Missing)	17152	93.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	49	0.3%
2	49	0.3%
3	49	0.3%
4	48	0.3%
5	48	0.3%
6	49	0.3%
7	48	0.3%
8	48	0.3%
9	49	0.3%
10	48	0.3%

Value	Count	Frequency (%)
30	1	< 0.1%
29	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
24	2	< 0.1%
23	49	0.3%
22	48	0.3%
21	49	0.3%

pace
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	70
Distinct (%)	0.4%
Missing	2036
Missing (%)	11.1%
Infinite	0
Infinite (%)	0.0%
Mean	67.7008989

Minimum	24
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	24
5-th percentile	47
Q1	61
median	69
Q3	75
95-th percentile	85
Maximum	96
Range	72
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	11.29765585
Coefficient of variation (CV)	0.1668760095
Kurtosis	0.5670726037
Mean	67.7008989
Median Absolute Deviation (MAD)	7
Skewness	-0.5475906827
Sum	1099598
Variance	127.6370277
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
67	689	3.8%
66	657	3.6%
71	633	3.5%
69	627	3.4%
70	614	3.4%
68	613	3.4%
64	593	3.2%
72	585	3.2%
74	579	3.2%
73	579	3.2%
Other values (60)	10073	55.1%
(Missing)	2036	11.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24	1	< 0.1%
25	2	< 0.1%
29	4	< 0.1%
30	21	0.1%
31	22	0.1%
32	39	0.2%
33	43	0.2%
34	43	0.2%
35	33	0.2%
36	26	0.1%

Value	Count	Frequency (%)
96	2	< 0.1%
95	4	< 0.1%
94	17	0.1%
93	30	0.2%
92	54	0.3%
91	81	0.4%
90	86	0.5%
89	90	0.5%
88	106	0.6%
87	126	0.7%

shooting
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	79
Distinct (%)	0.5%
Missing	2036
Missing (%)	11.1%
Infinite	0
Infinite (%)	0.0%
Mean	52.2983007

Minimum	15
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	15
5-th percentile	27
Q1	42
median	54
Q3	63
95-th percentile	73
Maximum	93
Range	78
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	14.02941778
Coefficient of variation (CV)	0.268257622
Kurtosis	-0.7559571391
Mean	52.2983007
Median Absolute Deviation (MAD)	10
Skewness	-0.2915078277
Sum	849429
Variance	196.8245633
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	549	3.0%
61	484	2.6%
63	480	2.6%
62	475	2.6%
59	472	2.6%
58	461	2.5%
64	455	2.5%
57	452	2.5%
56	432	2.4%
65	423	2.3%
Other values (69)	11559	63.2%
(Missing)	2036	11.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
16	4	< 0.1%
17	4	< 0.1%
18	4	< 0.1%
19	4	< 0.1%
20	12	0.1%
21	23	0.1%
22	39	0.2%
23	95	0.5%
24	121	0.7%

Value	Count	Frequency (%)
93	1	< 0.1%
92	1	< 0.1%
91	1	< 0.1%
90	1	< 0.1%
89	2	< 0.1%
88	2	< 0.1%
87	2	< 0.1%
86	6	< 0.1%
85	8	< 0.1%
84	8	< 0.1%

passing
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	68
Distinct (%)	0.4%
Missing	2036
Missing (%)	11.1%
Infinite	0
Infinite (%)	0.0%
Mean	57.23377663

Minimum	24
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	24
5-th percentile	39
Q1	50
median	58
Q3	64
95-th percentile	73
Maximum	92
Range	68
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	10.40784396
Coefficient of variation (CV)	0.1818479327
Kurtosis	-0.1283247084
Mean	57.23377663
Median Absolute Deviation (MAD)	7
Skewness	-0.2382989553
Sum	929591
Variance	108.3232159
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61	671	3.7%
59	663	3.6%
62	654	3.6%
60	642	3.5%
58	618	3.4%
56	611	3.3%
57	607	3.3%
63	599	3.3%
64	544	3.0%
54	538	2.9%
Other values (58)	10095	55.2%
(Missing)	2036	11.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
24	3	< 0.1%
25	4	< 0.1%
26	10	0.1%
27	11	0.1%
28	22	0.1%
29	34	0.2%
30	34	0.2%
31	40	0.2%
32	44	0.2%
33	52	0.3%

Value	Count	Frequency (%)
92	2	< 0.1%
90	2	< 0.1%
89	1	< 0.1%
88	2	< 0.1%
87	5	< 0.1%
86	7	< 0.1%
85	7	< 0.1%
84	18	0.1%
83	13	0.1%
82	20	0.1%

dribbling
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	71
Distinct (%)	0.4%
Missing	2036
Missing (%)	11.1%
Infinite	0
Infinite (%)	0.0%
Mean	62.53158478

Minimum	23
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	23
5-th percentile	42
Q1	57
median	64
Q3	69
95-th percentile	77
Maximum	96
Range	73
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	10.28495038
Coefficient of variation (CV)	0.164476087
Kurtosis	0.4740128548
Mean	62.53158478
Median Absolute Deviation (MAD)	6
Skewness	-0.6079853879
Sum	1015638
Variance	105.7802042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65	795	4.3%
64	768	4.2%
67	752	4.1%
66	737	4.0%
63	727	4.0%
68	692	3.8%
62	672	3.7%
69	619	3.4%
61	610	3.3%
60	583	3.2%
Other values (61)	9287	50.8%
(Missing)	2036	11.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
23	1	< 0.1%
26	1	< 0.1%
27	2	< 0.1%
28	4	< 0.1%
29	10	0.1%
30	22	0.1%
31	23	0.1%
32	37	0.2%
33	42	0.2%
34	40	0.2%

Value	Count	Frequency (%)
96	1	< 0.1%
95	1	< 0.1%
94	1	< 0.1%
92	1	< 0.1%
91	4	< 0.1%
90	6	< 0.1%
89	10	0.1%
88	6	< 0.1%
87	19	0.1%
86	25	0.1%

defending
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	76
Distinct (%)	0.5%
Missing	2036
Missing (%)	11.1%
Infinite	0
Infinite (%)	0.0%
Mean	51.55350326

Minimum	15
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	15
5-th percentile	24
Q1	36
median	56
Q3	65
95-th percentile	74
Maximum	90
Range	75
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	16.41952761
Coefficient of variation (CV)	0.3184948951
Kurtosis	-1.063887769
Mean	51.55350326
Median Absolute Deviation (MAD)	12
Skewness	-0.342478589
Sum	837332
Variance	269.600887
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
63	570	3.1%
61	523	2.9%
65	515	2.8%
64	514	2.8%
60	511	2.8%
62	508	2.8%
66	497	2.7%
59	469	2.6%
67	451	2.5%
68	392	2.1%
Other values (66)	11292	61.8%
(Missing)	2036	11.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	2	< 0.1%
16	16	0.1%
17	31	0.2%
18	59	0.3%
19	81	0.4%
20	105	0.6%
21	124	0.7%
22	156	0.9%
23	181	1.0%
24	206	1.1%

Value	Count	Frequency (%)
90	2	< 0.1%
89	3	< 0.1%
88	3	< 0.1%
87	6	< 0.1%
86	10	0.1%
85	13	0.1%
84	8	< 0.1%
83	24	0.1%
82	29	0.2%
81	25	0.1%

physic
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	61
Distinct (%)	0.4%
Missing	2036
Missing (%)	11.1%
Infinite	0
Infinite (%)	0.0%
Mean	64.87667775

Minimum	27
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	27
5-th percentile	47
Q1	59
median	66
Q3	72
95-th percentile	79
Maximum	90
Range	63
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.760161828
Coefficient of variation (CV)	0.1504417638
Kurtosis	-0.1225541302
Mean	64.87667775
Median Absolute Deviation (MAD)	7
Skewness	-0.4854302292
Sum	1053727
Variance	95.26075891
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
67	726	4.0%
69	715	3.9%
70	691	3.8%
66	686	3.8%
72	679	3.7%
68	666	3.6%
71	657	3.6%
65	598	3.3%
74	574	3.1%
64	571	3.1%
Other values (51)	9679	53.0%
(Missing)	2036	11.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
27	1	< 0.1%
31	2	< 0.1%
32	1	< 0.1%
33	4	< 0.1%
34	13	0.1%
35	13	0.1%
36	16	0.1%
37	22	0.1%
38	28	0.2%
39	48	0.3%

Value	Count	Frequency (%)
90	1	< 0.1%
89	3	< 0.1%
88	8	< 0.1%
87	13	0.1%
86	18	0.1%
85	34	0.2%
84	58	0.3%
83	84	0.5%
82	119	0.7%
81	147	0.8%

gk_diving
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	47
Distinct (%)	2.3%
Missing	16242
Missing (%)	88.9%
Infinite	0
Infinite (%)	0.0%
Mean	65.42239686

Minimum	44
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	44
5-th percentile	53
Q1	60
median	65
Q3	70
95-th percentile	79
Maximum	90
Range	46
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.736277816
Coefficient of variation (CV)	0.1182512135
Kurtosis	-0.04764523263
Mean	65.42239686
Median Absolute Deviation (MAD)	5
Skewness	0.1681730979
Sum	133200
Variance	59.84999445
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
64	119	0.7%
66	114	0.6%
65	111	0.6%
62	103	0.6%
63	98	0.5%
61	98	0.5%
67	96	0.5%
69	95	0.5%
68	89	0.5%
70	89	0.5%
Other values (37)	1024	5.6%
(Missing)	16242	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
44	1	< 0.1%
45	3	< 0.1%
46	2	< 0.1%
47	8	< 0.1%
48	10	0.1%
49	12	0.1%
50	14	0.1%
51	18	0.1%
52	19	0.1%
53	28	0.2%

Value	Count	Frequency (%)
90	3	< 0.1%
89	1	< 0.1%
88	2	< 0.1%
87	3	< 0.1%
86	4	< 0.1%
85	6	< 0.1%
84	10	0.1%
83	7	< 0.1%
82	15	0.1%
81	12	0.1%

gk_handling
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	47
Distinct (%)	2.3%
Missing	16242
Missing (%)	88.9%
Infinite	0
Infinite (%)	0.0%
Mean	63.14636542

Minimum	42
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	42
5-th percentile	52
Q1	58
median	63
Q3	68
95-th percentile	76
Maximum	92
Range	50
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.244022635
Coefficient of variation (CV)	0.1147179665
Kurtosis	0.2118880059
Mean	63.14636542
Median Absolute Deviation (MAD)	5
Skewness	0.2778550143
Sum	128566
Variance	52.47586393
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
62	150	0.8%
60	123	0.7%
65	121	0.7%
63	112	0.6%
58	103	0.6%
64	100	0.5%
66	99	0.5%
61	97	0.5%
59	92	0.5%
67	87	0.5%
Other values (37)	952	5.2%
(Missing)	16242	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
42	1	< 0.1%
43	1	< 0.1%
45	6	< 0.1%
46	4	< 0.1%
47	10	0.1%
48	14	0.1%
49	11	0.1%
50	20	0.1%
51	28	0.2%
52	40	0.2%

Value	Count	Frequency (%)
92	1	< 0.1%
89	1	< 0.1%
87	1	< 0.1%
86	1	< 0.1%
85	3	< 0.1%
84	5	< 0.1%
83	3	< 0.1%
82	12	0.1%
81	6	< 0.1%
80	11	0.1%

gk_kicking
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	52
Distinct (%)	2.6%
Missing	16242
Missing (%)	88.9%
Infinite	0
Infinite (%)	0.0%
Mean	61.83251473

Minimum	35
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	35
5-th percentile	50
Q1	57
median	61
Q3	66
95-th percentile	75
Maximum	93
Range	58
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	7.51070939
Coefficient of variation (CV)	0.1214686063
Kurtosis	0.4162822322
Mean	61.83251473
Median Absolute Deviation (MAD)	5
Skewness	0.3342751387
Sum	125891
Variance	56.41075554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	128	0.7%
58	123	0.7%
61	119	0.7%
59	113	0.6%
65	105	0.6%
62	104	0.6%
64	103	0.6%
63	97	0.5%
56	92	0.5%
66	90	0.5%
Other values (42)	962	5.3%
(Missing)	16242	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
35	1	< 0.1%
38	1	< 0.1%
40	1	< 0.1%
42	2	< 0.1%
43	2	< 0.1%
44	7	< 0.1%
45	9	< 0.1%
46	8	< 0.1%
47	11	0.1%
48	17	0.1%

Value	Count	Frequency (%)
93	1	< 0.1%
91	1	< 0.1%
90	1	< 0.1%
88	1	< 0.1%
87	1	< 0.1%
86	2	< 0.1%
85	2	< 0.1%
84	3	< 0.1%
82	4	< 0.1%
81	7	< 0.1%

gk_reflexes
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	48
Distinct (%)	2.4%
Missing	16242
Missing (%)	88.9%
Infinite	0
Infinite (%)	0.0%
Mean	66.39047151

Minimum	45
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	45
5-th percentile	54
Q1	60.75
median	66
Q3	72
95-th percentile	80.25
Maximum	92
Range	47
Interquartile range (IQR)	11.25

Descriptive statistics

Standard deviation	8.154062467
Coefficient of variation (CV)	0.1228197704
Kurtosis	-0.2089831624
Mean	66.39047151
Median Absolute Deviation (MAD)	6
Skewness	0.197779351
Sum	135171
Variance	66.48873472
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
68	115	0.6%
64	115	0.6%
65	104	0.6%
66	98	0.5%
70	88	0.5%
63	87	0.5%
69	86	0.5%
62	84	0.5%
71	82	0.4%
60	77	0.4%
Other values (38)	1100	6.0%
(Missing)	16242	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
45	2	< 0.1%
46	4	< 0.1%
47	1	< 0.1%
48	10	0.1%
49	6	< 0.1%
50	12	0.1%
51	11	0.1%
52	26	0.1%
53	23	0.1%
54	45	0.2%

Value	Count	Frequency (%)
92	1	< 0.1%
91	1	< 0.1%
90	3	< 0.1%
89	5	< 0.1%
88	5	< 0.1%
87	5	< 0.1%
86	6	< 0.1%
85	7	< 0.1%
84	13	0.1%
83	17	0.1%

gk_speed
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	53
Distinct (%)	2.6%
Missing	16242
Missing (%)	88.9%
Infinite	0
Infinite (%)	0.0%
Mean	37.79862475

Minimum	12
Maximum	65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	12
5-th percentile	21
Q1	29
median	39
Q3	46
95-th percentile	55
Maximum	65
Range	53
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	10.63403825
Coefficient of variation (CV)	0.2813339989
Kurtosis	-0.8229501861
Mean	37.79862475
Median Absolute Deviation (MAD)	8
Skewness	-0.02424795383
Sum	76958
Variance	113.0827696
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	97	0.5%
44	81	0.4%
43	79	0.4%
42	72	0.4%
46	72	0.4%
41	71	0.4%
48	70	0.4%
26	62	0.3%
24	61	0.3%
37	60	0.3%
Other values (43)	1311	7.2%
(Missing)	16242	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	1	< 0.1%
13	1	< 0.1%
15	3	< 0.1%
16	11	0.1%
17	9	< 0.1%
18	22	0.1%
19	21	0.1%
20	20	0.1%
21	34	0.2%
22	42	0.2%

Value	Count	Frequency (%)
65	2	< 0.1%
64	2	< 0.1%
63	6	< 0.1%
62	1	< 0.1%
61	3	< 0.1%
60	15	0.1%
59	6	< 0.1%
58	10	0.1%
57	19	0.1%
56	24	0.1%

gk_positioning
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	2.5%
Missing	16242
Missing (%)	88.9%
Infinite	0
Infinite (%)	0.0%
Mean	63.37475442

Minimum	41
Maximum	91
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	41
5-th percentile	49
Q1	58
median	64
Q3	69
95-th percentile	77
Maximum	91
Range	50
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.447876385
Coefficient of variation (CV)	0.1333003412
Kurtosis	-0.08353135752
Mean	63.37475442
Median Absolute Deviation (MAD)	6
Skewness	0.00814717021
Sum	129031
Variance	71.36661542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65	116	0.6%
64	112	0.6%
66	111	0.6%
62	97	0.5%
63	92	0.5%
61	90	0.5%
67	89	0.5%
68	86	0.5%
60	83	0.5%
58	81	0.4%
Other values (40)	1079	5.9%
(Missing)	16242	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
41	4	< 0.1%
42	5	< 0.1%
43	7	< 0.1%
44	10	0.1%
45	14	0.1%
46	10	0.1%
47	15	0.1%
48	23	0.1%
49	26	0.1%
50	28	0.2%

Value	Count	Frequency (%)
91	1	< 0.1%
90	2	< 0.1%
89	1	< 0.1%
88	1	< 0.1%
86	4	< 0.1%
85	4	< 0.1%
84	5	< 0.1%
83	4	< 0.1%
82	14	0.1%
81	10	0.1%

player_traits
Categorical

HIGH CARDINALITY
MISSING

Distinct	921
Distinct (%)	12.2%
Missing	10712
Missing (%)	58.6%
Memory size	142.9 KiB

Early Crosser	501
Power Free-Kick	370
Long Passer (CPU AI Only)	354
Crowd Favourite	296
Argues with Officials	294
Other values (916)	5751

Length

Max length	147
Median length	115
Mean length	28.1136664
Min length	5

Characters and Unicode

Total characters	212708
Distinct characters	46
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	502 ?
Unique (%)	6.6%

Sample

1st row	Beat Offside Trap, Argues with Officials, Early Crosser, Finesse Shot, Speed Dribbler (CPU AI Only), 1-on-1 Rush, Giant Throw-in, Outside Foot Shot
2nd row	Long Throw-in, Selfish, Argues with Officials, Early Crosser, Speed Dribbler (CPU AI Only), Skilled Dribbling
3rd row	Power Free-Kick, Injury Free, Selfish, Early Crosser, Speed Dribbler (CPU AI Only), Crowd Favourite
4th row	Flair, Acrobatic Clearance
5th row	Beat Offside Trap, Selfish, Finesse Shot, Speed Dribbler (CPU AI Only), Crowd Favourite

Common Values

Value	Count	Frequency (%)
Early Crosser	501	2.7%
Power Free-Kick	370	2.0%
Long Passer (CPU AI Only)	354	1.9%
Crowd Favourite	296	1.6%
Argues with Officials	294	1.6%
Injury Prone	259	1.4%
Leadership	237	1.3%
Selfish, Crowd Favourite	188	1.0%
Inflexible	160	0.9%
Giant Throw-in	158	0.9%
Other values (911)	4749	26.0%
(Missing)	10712	58.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cpu	1533	4.9%
ai	1533	4.9%
only	1533	4.9%
favourite	1336	4.2%
crowd	1336	4.2%
officials	1222	3.9%
with	1222	3.9%
argues	1222	3.9%
early	1168	3.7%
crosser	1168	3.7%
Other values (41)	18214	57.8%

Most occurring characters

Value	Count	Frequency (%)
	23921	11.2%
e	18927	8.9%
r	16791	7.9%
i	13751	6.5%
s	12192	5.7%
o	10417	4.9%
a	8755	4.1%
n	8058	3.8%
l	7196	3.4%
t	5713	2.7%
Other values (36)	86987	40.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	142499	67.0%
Uppercase Letter	35809	16.8%
Space Separator	23921	11.2%
Other Punctuation	5708	2.7%
Dash Punctuation	1703	0.8%
Open Punctuation	1533	0.7%
Close Punctuation	1533	0.7%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18927	13.3%
r	16791	11.8%
i	13751	9.6%
s	12192	8.6%
o	10417	7.3%
a	8755	6.1%
n	8058	5.7%
l	7196	5.0%
t	5713	4.0%
f	4922	3.5%
Other values (13)	35777	25.1%

Uppercase Letter

Value	Count	Frequency (%)
C	4270	11.9%
F	4166	11.6%
P	4072	11.4%
A	3471	9.7%
I	3346	9.3%
O	3345	9.3%
S	2656	7.4%
U	2016	5.6%
L	1695	4.7%
T	1670	4.7%
Other values (7)	5102	14.2%

Space Separator

Value	Count	Frequency (%)
	23921	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	5708	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1703	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1533	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1533	100.0%

Decimal Number

Value	Count	Frequency (%)
1	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	178308	83.8%
Common	34400	16.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18927	10.6%
r	16791	9.4%
i	13751	7.7%
s	12192	6.8%
o	10417	5.8%
a	8755	4.9%
n	8058	4.5%
l	7196	4.0%
t	5713	3.2%
f	4922	2.8%
Other values (30)	71586	40.1%

Common

Value	Count	Frequency (%)
	23921	69.5%
,	5708	16.6%
-	1703	5.0%
(	1533	4.5%
)	1533	4.5%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	212708	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	23921	11.2%
e	18927	8.9%
r	16791	7.9%
i	13751	6.5%
s	12192	5.7%
o	10417	4.9%
a	8755	4.1%
n	8058	3.8%
l	7196	3.4%
t	5713	2.7%
Other values (36)	86987	40.9%

attacking_crossing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	88
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.71840464

Minimum	5
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	5
5-th percentile	13
Q1	38
median	54
Q3	64
95-th percentile	74
Maximum	93
Range	88
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	18.3254034
Coefficient of variation (CV)	0.3685838983
Kurtosis	-0.5204911032
Mean	49.71840464
Median Absolute Deviation (MAD)	12
Skewness	-0.604843202
Sum	908753
Variance	335.8204097
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
62	549	3.0%
65	522	2.9%
58	522	2.9%
60	514	2.8%
64	504	2.8%
59	490	2.7%
61	469	2.6%
57	460	2.5%
63	454	2.5%
56	430	2.4%
Other values (78)	13364	73.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
6	3	< 0.1%
7	8	< 0.1%
8	27	0.1%
9	38	0.2%
10	160	0.9%
11	274	1.5%
12	272	1.5%
13	311	1.7%
14	254	1.4%

Value	Count	Frequency (%)
93	1	< 0.1%
91	3	< 0.1%
90	2	< 0.1%
89	4	< 0.1%
88	4	< 0.1%
87	6	< 0.1%
86	15	0.1%
85	9	< 0.1%
84	20	0.1%
83	24	0.1%

attacking_finishing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	93
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.59021775

Minimum	2
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	2
5-th percentile	11
Q1	30
median	49
Q3	62
95-th percentile	73
Maximum	95
Range	93
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	19.59460943
Coefficient of variation (CV)	0.4297985488
Kurtosis	-0.9440430876
Mean	45.59021775
Median Absolute Deviation (MAD)	15
Skewness	-0.3169360452
Sum	833298
Variance	383.9487187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	497	2.7%
60	444	2.4%
65	437	2.4%
62	421	2.3%
59	419	2.3%
63	413	2.3%
64	409	2.2%
66	390	2.1%
61	374	2.0%
55	358	2.0%
Other values (83)	14116	77.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	< 0.1%
3	2	< 0.1%
4	8	< 0.1%
5	92	0.5%
6	120	0.7%
7	139	0.8%
8	182	1.0%
9	185	1.0%
10	124	0.7%
11	174	1.0%

Value	Count	Frequency (%)
95	1	< 0.1%
94	2	< 0.1%
93	1	< 0.1%
91	1	< 0.1%
90	1	< 0.1%
89	5	< 0.1%
88	8	< 0.1%
87	7	< 0.1%
86	14	0.1%
85	9	< 0.1%

attacking_heading_accuracy
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	89
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.22146843

Minimum	5
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	5
5-th percentile	13
Q1	44
median	56
Q3	64
95-th percentile	75
Maximum	93
Range	88
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	17.42842937
Coefficient of variation (CV)	0.3337406988
Kurtosis	0.2853481116
Mean	52.22146843
Median Absolute Deviation (MAD)	10
Skewness	-0.8809329046
Sum	954504
Variance	303.7501502
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	640	3.5%
60	592	3.2%
59	556	3.0%
55	553	3.0%
65	540	3.0%
62	531	2.9%
64	509	2.8%
57	471	2.6%
54	467	2.6%
52	454	2.5%
Other values (79)	12965	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	3	< 0.1%
6	2	< 0.1%
7	7	< 0.1%
8	19	0.1%
9	25	0.1%
10	174	1.0%
11	255	1.4%
12	276	1.5%
13	307	1.7%
14	269	1.5%

Value	Count	Frequency (%)
93	3	< 0.1%
92	3	< 0.1%
91	2	< 0.1%
90	6	< 0.1%
89	4	< 0.1%
88	2	< 0.1%
87	5	< 0.1%
86	17	0.1%
85	21	0.1%
84	22	0.1%

attacking_short_passing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	84
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.74800306

Minimum	7
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	7
5-th percentile	25
Q1	54
median	62
Q3	68
95-th percentile	77
Maximum	92
Range	85
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	14.67965326
Coefficient of variation (CV)	0.2498749318
Kurtosis	0.8969551851
Mean	58.74800306
Median Absolute Deviation (MAD)	7
Skewness	-1.136213163
Sum	1073796
Variance	215.4922198
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	841	4.6%
65	825	4.5%
63	802	4.4%
62	795	4.3%
68	767	4.2%
66	737	4.0%
67	723	4.0%
60	637	3.5%
70	576	3.2%
58	575	3.1%
Other values (74)	11000	60.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	1	< 0.1%
8	1	< 0.1%
11	8	< 0.1%
12	17	0.1%
13	13	0.1%
14	12	0.1%
15	59	0.3%
16	40	0.2%
17	55	0.3%
18	45	0.2%

Value	Count	Frequency (%)
92	4	< 0.1%
91	4	< 0.1%
90	3	< 0.1%
89	7	< 0.1%
88	5	< 0.1%
87	7	< 0.1%
86	20	0.1%
85	29	0.2%
84	42	0.2%
83	53	0.3%

attacking_volleys
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	87
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.80938834

Minimum	3
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	3
5-th percentile	11
Q1	30
median	44
Q3	56
95-th percentile	70
Maximum	90
Range	87
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	17.70181531
Coefficient of variation (CV)	0.4135031123
Kurtosis	-0.6811114826
Mean	42.80938834
Median Absolute Deviation (MAD)	13
Skewness	-0.1564664716
Sum	782470
Variance	313.3542654
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48	404	2.2%
45	390	2.1%
59	388	2.1%
42	383	2.1%
55	378	2.1%
49	376	2.1%
52	371	2.0%
58	362	2.0%
53	359	2.0%
41	359	2.0%
Other values (77)	14508	79.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	< 0.1%
4	12	0.1%
5	107	0.6%
6	124	0.7%
7	128	0.7%
8	174	1.0%
9	160	0.9%
10	100	0.5%
11	136	0.7%
12	183	1.0%

Value	Count	Frequency (%)
90	4	< 0.1%
88	6	< 0.1%
87	4	< 0.1%
86	5	< 0.1%
85	9	< 0.1%
84	14	0.1%
83	16	0.1%
82	17	0.1%
81	21	0.1%
80	22	0.1%

skill_dribbling
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	92
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.59650946

Minimum	4
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	4
5-th percentile	13
Q1	50
median	61
Q3	68
95-th percentile	77
Maximum	97
Range	93
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	18.92911774
Coefficient of variation (CV)	0.3404731326
Kurtosis	0.4187820821
Mean	55.59650946
Median Absolute Deviation (MAD)	8
Skewness	-1.117592273
Sum	1016193
Variance	358.3114985
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65	740	4.0%
63	718	3.9%
62	707	3.9%
64	702	3.8%
66	637	3.5%
68	625	3.4%
67	615	3.4%
61	536	2.9%
59	521	2.9%
58	520	2.8%
Other values (82)	11957	65.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	5	< 0.1%
5	33	0.2%
6	43	0.2%
7	63	0.3%
8	79	0.4%
9	87	0.5%
10	138	0.8%
11	194	1.1%
12	226	1.2%
13	212	1.2%

Value	Count	Frequency (%)
97	1	< 0.1%
96	1	< 0.1%
95	1	< 0.1%
92	4	< 0.1%
91	2	< 0.1%
90	13	0.1%
89	9	< 0.1%
88	19	0.1%
87	21	0.1%
86	33	0.2%

skill_curve
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	89
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.32569209

Minimum	6
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	6
5-th percentile	13
Q1	34
median	49
Q3	62
95-th percentile	75
Maximum	94
Range	88
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	18.42299067
Coefficient of variation (CV)	0.3892809561
Kurtosis	-0.7260681313
Mean	47.32569209
Median Absolute Deviation (MAD)	14
Skewness	-0.2630997318
Sum	865019
Variance	339.4065851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	421	2.3%
48	407	2.2%
45	387	2.1%
59	383	2.1%
60	382	2.1%
49	381	2.1%
55	373	2.0%
42	363	2.0%
63	360	2.0%
64	360	2.0%
Other values (79)	14461	79.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	4	< 0.1%
7	5	< 0.1%
8	18	0.1%
9	33	0.2%
10	167	0.9%
11	224	1.2%
12	265	1.4%
13	305	1.7%
14	248	1.4%
15	158	0.9%

Value	Count	Frequency (%)
94	1	< 0.1%
93	1	< 0.1%
92	1	< 0.1%
91	1	< 0.1%
90	5	< 0.1%
89	5	< 0.1%
88	7	< 0.1%
87	10	0.1%
86	20	0.1%
85	36	0.2%

skill_fk_accuracy
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	89
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.708885

Minimum	4
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	4
5-th percentile	13
Q1	31
median	41
Q3	56
95-th percentile	72
Maximum	94
Range	90
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	17.43361238
Coefficient of variation (CV)	0.4081963832
Kurtosis	-0.7028830702
Mean	42.708885
Median Absolute Deviation (MAD)	12
Skewness	0.09411637698
Sum	780633
Variance	303.9308408
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	478	2.6%
39	472	2.6%
40	471	2.6%
42	465	2.5%
32	459	2.5%
34	424	2.3%
30	418	2.3%
38	417	2.3%
41	409	2.2%
31	409	2.2%
Other values (79)	13856	75.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
6	3	< 0.1%
7	13	0.1%
8	27	0.1%
9	32	0.2%
10	155	0.8%
11	248	1.4%
12	325	1.8%
13	308	1.7%
14	260	1.4%

Value	Count	Frequency (%)
94	1	< 0.1%
92	2	< 0.1%
91	2	< 0.1%
90	3	< 0.1%
89	2	< 0.1%
88	4	< 0.1%
87	7	< 0.1%
86	8	< 0.1%
85	14	0.1%
84	11	0.1%

skill_long_passing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	85
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.7688478

Minimum	8
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	8
5-th percentile	23
Q1	43
median	56
Q3	64
95-th percentile	73
Maximum	92
Range	84
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	15.24645409
Coefficient of variation (CV)	0.2889290695
Kurtosis	-0.3544846305
Mean	52.7688478
Median Absolute Deviation (MAD)	10
Skewness	-0.5903706982
Sum	964509
Variance	232.4543624
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	635	3.5%
62	630	3.4%
58	620	3.4%
63	583	3.2%
65	582	3.2%
60	566	3.1%
64	563	3.1%
55	539	2.9%
61	508	2.8%
57	500	2.7%
Other values (75)	12552	68.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8	1	< 0.1%
9	3	< 0.1%
10	2	< 0.1%
11	7	< 0.1%
12	17	0.1%
13	22	0.1%
14	18	0.1%
15	56	0.3%
16	67	0.4%
17	66	0.4%

Value	Count	Frequency (%)
92	2	< 0.1%
91	1	< 0.1%
90	2	< 0.1%
89	3	< 0.1%
88	2	< 0.1%
87	8	< 0.1%
86	4	< 0.1%
85	13	0.1%
84	8	< 0.1%
83	25	0.1%

skill_ball_control
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	90
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.46197615

Minimum	5
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	5
5-th percentile	19
Q1	54
median	63
Q3	69
95-th percentile	77
Maximum	96
Range	91
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	16.74187798
Coefficient of variation (CV)	0.2863720847
Kurtosis	1.081540587
Mean	58.46197615
Median Absolute Deviation (MAD)	7
Skewness	-1.290295103
Sum	1068568
Variance	280.2904784
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	833	4.6%
65	815	4.5%
66	750	4.1%
63	745	4.1%
68	724	4.0%
62	703	3.8%
67	686	3.8%
70	667	3.6%
60	633	3.5%
61	592	3.2%
Other values (80)	11130	60.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
8	1	< 0.1%
9	6	< 0.1%
10	50	0.3%
11	63	0.3%
12	98	0.5%
13	80	0.4%
14	107	0.6%
15	114	0.6%
16	124	0.7%

Value	Count	Frequency (%)
96	1	< 0.1%
95	1	< 0.1%
94	1	< 0.1%
93	3	< 0.1%
92	5	< 0.1%
91	5	< 0.1%
90	7	< 0.1%
89	11	0.1%
88	18	0.1%
87	16	0.1%

movement_acceleration
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	86
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.29992341

Minimum	12
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	12
5-th percentile	33
Q1	56
median	67
Q3	75
95-th percentile	85
Maximum	97
Range	85
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	15.04223199
Coefficient of variation (CV)	0.2339385678
Kurtosis	0.4520594274
Mean	64.29992341
Median Absolute Deviation (MAD)	9
Skewness	-0.8114484533
Sum	1175274
Variance	226.2687432
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	687	3.8%
67	659	3.6%
69	647	3.5%
66	621	3.4%
65	614	3.4%
74	568	3.1%
72	566	3.1%
70	551	3.0%
75	551	3.0%
73	550	3.0%
Other values (76)	12264	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	1	< 0.1%
13	1	< 0.1%
14	2	< 0.1%
15	15	0.1%
16	22	0.1%
17	22	0.1%
18	30	0.2%
19	17	0.1%
20	33	0.2%
21	34	0.2%

Value	Count	Frequency (%)
97	1	< 0.1%
96	2	< 0.1%
95	9	< 0.1%
94	27	0.1%
93	48	0.3%
92	62	0.3%
91	88	0.5%
90	107	0.6%
89	102	0.6%
88	113	0.6%

movement_sprint_speed
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	86
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.41574571

Minimum	11
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	11
5-th percentile	34
Q1	57
median	67
Q3	75
95-th percentile	85
Maximum	96
Range	85
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.84776342
Coefficient of variation (CV)	0.230498976
Kurtosis	0.5706125521
Mean	64.41574571
Median Absolute Deviation (MAD)	8
Skewness	-0.8489320462
Sum	1177391
Variance	220.4560786
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	702	3.8%
69	678	3.7%
67	668	3.7%
66	637	3.5%
65	596	3.3%
74	592	3.2%
72	586	3.2%
73	583	3.2%
75	582	3.2%
71	564	3.1%
Other values (76)	12090	66.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	2	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	21	0.1%
16	25	0.1%
17	22	0.1%
18	27	0.1%
19	19	0.1%
20	32	0.2%

Value	Count	Frequency (%)
96	4	< 0.1%
95	7	< 0.1%
94	18	0.1%
93	35	0.2%
92	67	0.4%
91	79	0.4%
90	121	0.7%
89	76	0.4%
88	107	0.6%
87	135	0.7%

movement_agility
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	83
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.50492395

Minimum	11
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	11
5-th percentile	34
Q1	55
median	66
Q3	74
95-th percentile	84
Maximum	96
Range	85
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	14.80838022
Coefficient of variation (CV)	0.2331847564
Kurtosis	-0.01766422178
Mean	63.50492395
Median Absolute Deviation (MAD)	9
Skewness	-0.6345126194
Sum	1160743
Variance	219.2881248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	607	3.3%
67	584	3.2%
70	578	3.2%
72	573	3.1%
65	570	3.1%
69	567	3.1%
66	560	3.1%
74	545	3.0%
71	543	3.0%
73	543	3.0%
Other values (73)	12608	69.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
17	1	< 0.1%
18	8	< 0.1%
19	5	< 0.1%
20	3	< 0.1%
21	21	0.1%
22	33	0.2%
23	27	0.1%

Value	Count	Frequency (%)
96	1	< 0.1%
95	5	< 0.1%
94	18	0.1%
93	33	0.2%
92	64	0.4%
91	85	0.5%
90	116	0.6%
89	82	0.4%
88	101	0.6%
87	112	0.6%

movement_reactions
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	72
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.75254404

Minimum	21
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	21
5-th percentile	47
Q1	56
median	62
Q3	68
95-th percentile	76
Maximum	96
Range	75
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	9.135612545
Coefficient of variation (CV)	0.1479390475
Kurtosis	0.1556214195
Mean	61.75254404
Median Absolute Deviation (MAD)	6
Skewness	-0.1347482792
Sum	1128713
Variance	83.45941657
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
62	855	4.7%
63	841	4.6%
65	837	4.6%
58	821	4.5%
64	821	4.5%
60	792	4.3%
66	761	4.2%
68	711	3.9%
59	702	3.8%
61	695	3.8%
Other values (62)	10442	57.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	1	< 0.1%
24	1	< 0.1%
25	2	< 0.1%
27	1	< 0.1%
28	4	< 0.1%
29	3	< 0.1%
30	4	< 0.1%
31	9	< 0.1%
32	12	0.1%
33	12	0.1%

Value	Count	Frequency (%)
96	1	< 0.1%
95	1	< 0.1%
93	1	< 0.1%
92	5	< 0.1%
91	4	< 0.1%
90	3	< 0.1%
89	7	< 0.1%
88	7	< 0.1%
87	14	0.1%
86	14	0.1%

movement_balance
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	81
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.85643944

Minimum	12
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	12
5-th percentile	36
Q1	56
median	66
Q3	74
95-th percentile	84
Maximum	97
Range	85
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.20155851
Coefficient of variation (CV)	0.2223982207
Kurtosis	0.07684517162
Mean	63.85643944
Median Absolute Deviation (MAD)	9
Skewness	-0.5915857205
Sum	1167168
Variance	201.6842642
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	607	3.3%
66	604	3.3%
69	601	3.3%
67	598	3.3%
71	593	3.2%
72	580	3.2%
70	580	3.2%
65	577	3.2%
73	550	3.0%
64	537	2.9%
Other values (71)	12451	68.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	1	< 0.1%
17	3	< 0.1%
19	4	< 0.1%
20	7	< 0.1%
21	21	0.1%
22	32	0.2%
23	20	0.1%
24	26	0.1%
25	26	0.1%
26	35	0.2%

Value	Count	Frequency (%)
97	1	< 0.1%
96	2	< 0.1%
95	7	< 0.1%
94	23	0.1%
93	42	0.2%
92	62	0.3%
91	79	0.4%
90	101	0.6%
89	86	0.5%
88	103	0.6%

power_shot_power
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	80
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.18169384

Minimum	14
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	14
5-th percentile	35
Q1	48
median	59
Q3	68
95-th percentile	78
Maximum	95
Range	81
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.32608281
Coefficient of variation (CV)	0.2290425377
Kurtosis	-0.4866856632
Mean	58.18169384
Median Absolute Deviation (MAD)	10
Skewness	-0.2709114453
Sum	1063445
Variance	177.5844829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65	578	3.2%
68	569	3.1%
62	537	2.9%
70	536	2.9%
66	524	2.9%
64	523	2.9%
58	485	2.7%
63	472	2.6%
60	469	2.6%
55	467	2.6%
Other values (70)	13118	71.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	1	< 0.1%
15	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
18	1	< 0.1%
20	18	0.1%
21	21	0.1%
22	22	0.1%
23	23	0.1%
24	33	0.2%

Value	Count	Frequency (%)
95	2	< 0.1%
94	1	< 0.1%
92	1	< 0.1%
91	1	< 0.1%
90	8	< 0.1%
89	5	< 0.1%
88	14	0.1%
87	16	0.1%
86	39	0.2%
85	61	0.3%

power_jumping
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	74
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.92816501

Minimum	19
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	19
5-th percentile	43
Q1	58
median	66
Q3	73
95-th percentile	83
Maximum	95
Range	76
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.93405922
Coefficient of variation (CV)	0.1838040428
Kurtosis	0.2890415074
Mean	64.92816501
Median Absolute Deviation (MAD)	7
Skewness	-0.450799309
Sum	1186757
Variance	142.4217695
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	692	3.8%
72	683	3.7%
71	659	3.6%
67	650	3.6%
68	638	3.5%
64	627	3.4%
65	623	3.4%
66	619	3.4%
63	601	3.3%
69	601	3.3%
Other values (64)	11885	65.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
19	1	< 0.1%
22	2	< 0.1%
23	1	< 0.1%
25	2	< 0.1%
26	2	< 0.1%
27	5	< 0.1%
28	2	< 0.1%
29	12	0.1%
30	32	0.2%
31	54	0.3%

Value	Count	Frequency (%)
95	3	< 0.1%
94	4	< 0.1%
93	21	0.1%
92	53	0.3%
91	69	0.4%
90	102	0.6%
89	54	0.3%
88	72	0.4%
87	81	0.4%
86	95	0.5%

power_stamina
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	86
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.88948463

Minimum	12
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	12
5-th percentile	28
Q1	56
median	66
Q3	74
95-th percentile	84
Maximum	97
Range	85
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	16.01795437
Coefficient of variation (CV)	0.254700042
Kurtosis	0.405759062
Mean	62.88948463
Median Absolute Deviation (MAD)	8
Skewness	-0.8870070915
Sum	1149494
Variance	256.5748623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	633	3.5%
70	616	3.4%
67	609	3.3%
66	605	3.3%
71	602	3.3%
72	595	3.3%
69	585	3.2%
65	583	3.2%
73	571	3.1%
64	557	3.0%
Other values (76)	12322	67.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	1	< 0.1%
13	3	< 0.1%
14	3	< 0.1%
15	3	< 0.1%
16	24	0.1%
17	37	0.2%
18	47	0.3%
19	49	0.3%
20	60	0.3%
21	70	0.4%

Value	Count	Frequency (%)
97	1	< 0.1%
96	1	< 0.1%
95	3	< 0.1%
94	8	< 0.1%
93	33	0.2%
92	58	0.3%
91	83	0.5%
90	116	0.6%
89	81	0.4%
88	100	0.5%

power_strength
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	75
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.2347631

Minimum	20
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	20
5-th percentile	42
Q1	58
median	66
Q3	74
95-th percentile	84
Maximum	97
Range	77
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	12.53481147
Coefficient of variation (CV)	0.1921492603
Kurtosis	0.06129547997
Mean	65.2347631
Median Absolute Deviation (MAD)	8
Skewness	-0.4440349033
Sum	1192361
Variance	157.1214987
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	645	3.5%
70	622	3.4%
67	607	3.3%
73	600	3.3%
72	598	3.3%
69	596	3.3%
64	589	3.2%
71	587	3.2%
66	587	3.2%
65	572	3.1%
Other values (65)	12275	67.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	3	< 0.1%
22	1	< 0.1%
24	2	< 0.1%
25	4	< 0.1%
26	3	< 0.1%
27	3	< 0.1%
28	6	< 0.1%
29	18	0.1%
30	34	0.2%
31	55	0.3%

Value	Count	Frequency (%)
97	1	< 0.1%
95	3	< 0.1%
94	10	0.1%
93	33	0.2%
92	62	0.3%
91	81	0.4%
90	121	0.7%
89	72	0.4%
88	101	0.6%
87	104	0.6%

power_long_shots
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	90
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.81294452

Minimum	4
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	4
5-th percentile	12
Q1	32
median	51
Q3	62
95-th percentile	73
Maximum	94
Range	90
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	19.3223427
Coefficient of variation (CV)	0.4127564053
Kurtosis	-0.8179755749
Mean	46.81294452
Median Absolute Deviation (MAD)	14
Skewness	-0.4283446497
Sum	855647
Variance	373.3529276
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	502	2.7%
59	482	2.6%
62	465	2.5%
55	439	2.4%
60	427	2.3%
65	412	2.3%
64	402	2.2%
63	395	2.2%
52	392	2.1%
56	388	2.1%
Other values (80)	13974	76.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	6	< 0.1%
5	107	0.6%
6	130	0.7%
7	126	0.7%
8	139	0.8%
9	159	0.9%
10	74	0.4%
11	117	0.6%
12	189	1.0%
13	172	0.9%

Value	Count	Frequency (%)
94	1	< 0.1%
93	1	< 0.1%
92	1	< 0.1%
90	4	< 0.1%
89	4	< 0.1%
88	5	< 0.1%
87	4	< 0.1%
86	11	0.1%
85	6	< 0.1%
84	23	0.1%

mentality_aggression
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	87
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.74214903

Minimum	9
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	9
5-th percentile	24
Q1	44
median	58
Q3	69
95-th percentile	80
Maximum	95
Range	86
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	17.3181573
Coefficient of variation (CV)	0.3106833448
Kurtosis	-0.6123081548
Mean	55.74214903
Median Absolute Deviation (MAD)	12
Skewness	-0.4251161225
Sum	1018855
Variance	299.9185724
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	496	2.7%
70	487	2.7%
58	486	2.7%
65	478	2.6%
60	460	2.5%
55	447	2.4%
62	429	2.3%
67	427	2.3%
72	424	2.3%
59	419	2.3%
Other values (77)	13725	75.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	1	< 0.1%
10	1	< 0.1%
11	5	< 0.1%
12	11	0.1%
13	14	0.1%
14	11	0.1%
15	26	0.1%
16	64	0.4%
17	83	0.5%
18	93	0.5%

Value	Count	Frequency (%)
95	1	< 0.1%
94	3	< 0.1%
93	3	< 0.1%
92	16	0.1%
91	10	0.1%
90	33	0.2%
89	29	0.2%
88	56	0.3%
87	53	0.3%
86	59	0.3%

mentality_interceptions
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	89
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.38023854

Minimum	3
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	3
5-th percentile	13
Q1	25
median	52
Q3	64
95-th percentile	74
Maximum	92
Range	89
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	20.77581209
Coefficient of variation (CV)	0.4479453479
Kurtosis	-1.273380212
Mean	46.38023854
Median Absolute Deviation (MAD)	16
Skewness	-0.2661018362
Sum	847738
Variance	431.6343679
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
62	507	2.8%
64	492	2.7%
65	489	2.7%
63	466	2.5%
66	454	2.5%
60	430	2.4%
59	412	2.3%
67	412	2.3%
58	403	2.2%
61	398	2.2%
Other values (79)	13815	75.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
4	1	< 0.1%
5	7	< 0.1%
6	42	0.2%
7	62	0.3%
8	83	0.5%
9	67	0.4%
10	151	0.8%
11	170	0.9%
12	228	1.2%

Value	Count	Frequency (%)
92	1	< 0.1%
90	2	< 0.1%
89	9	< 0.1%
88	6	< 0.1%
87	7	< 0.1%
86	14	0.1%
85	10	0.1%
84	15	0.1%
83	26	0.1%
82	54	0.3%

mentality_positioning
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	94
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.07216326

Minimum	2
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	2
5-th percentile	10
Q1	39
median	55
Q3	64
95-th percentile	75
Maximum	95
Range	93
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	19.59402177
Coefficient of variation (CV)	0.3913156631
Kurtosis	-0.341018607
Mean	50.07216326
Median Absolute Deviation (MAD)	11
Skewness	-0.7504692424
Sum	915219
Variance	383.9256889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	586	3.2%
65	545	3.0%
62	540	3.0%
60	516	2.8%
64	507	2.8%
55	506	2.8%
59	506	2.8%
66	472	2.6%
68	470	2.6%
63	469	2.6%
Other values (84)	13161	72.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	4	< 0.1%
3	6	< 0.1%
4	93	0.5%
5	136	0.7%
6	172	0.9%
7	157	0.9%
8	160	0.9%
9	83	0.5%
10	127	0.7%
11	179	1.0%

Value	Count	Frequency (%)
95	1	< 0.1%
94	1	< 0.1%
93	3	< 0.1%
92	4	< 0.1%
91	4	< 0.1%
90	6	< 0.1%
89	4	< 0.1%
88	7	< 0.1%
87	12	0.1%
86	13	0.1%

mentality_vision
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	85
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.60974943

Minimum	9
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	9
5-th percentile	29
Q1	44
median	55
Q3	64
95-th percentile	74
Maximum	94
Range	85
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.95562603
Coefficient of variation (CV)	0.2603188073
Kurtosis	-0.3548836096
Mean	53.60974943
Median Absolute Deviation (MAD)	10
Skewness	-0.358395273
Sum	979879
Variance	194.7594979
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	589	3.2%
58	588	3.2%
60	560	3.1%
65	546	3.0%
55	532	2.9%
64	529	2.9%
62	520	2.8%
57	507	2.8%
63	494	2.7%
54	489	2.7%
Other values (75)	12924	70.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9	3	< 0.1%
10	4	< 0.1%
11	13	0.1%
12	15	0.1%
13	16	0.1%
14	21	0.1%
15	16	0.1%
16	13	0.1%
17	10	0.1%
18	26	0.1%

Value	Count	Frequency (%)
94	2	< 0.1%
92	1	< 0.1%
91	2	< 0.1%
90	2	< 0.1%
89	4	< 0.1%
88	5	< 0.1%
87	7	< 0.1%
86	22	0.1%
85	13	0.1%
84	17	0.1%

mentality_penalties
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	86
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.38335704

Minimum	7
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	7
5-th percentile	18
Q1	39
median	49
Q3	60
95-th percentile	72
Maximum	92
Range	85
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	15.70809881
Coefficient of variation (CV)	0.3246591342
Kurtosis	-0.3125797842
Mean	48.38335704
Median Absolute Deviation (MAD)	11
Skewness	-0.3597536324
Sum	884351
Variance	246.7443682
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55	506	2.8%
48	498	2.7%
49	474	2.6%
59	471	2.6%
58	469	2.6%
45	466	2.5%
42	455	2.5%
60	454	2.5%
40	448	2.5%
44	441	2.4%
Other values (76)	13596	74.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	5	< 0.1%
8	4	< 0.1%
9	8	< 0.1%
10	56	0.3%
11	95	0.5%
12	114	0.6%
13	99	0.5%
14	116	0.6%
15	140	0.8%
16	126	0.7%

Value	Count	Frequency (%)
92	1	< 0.1%
91	4	< 0.1%
90	9	< 0.1%
89	2	< 0.1%
88	5	< 0.1%
87	5	< 0.1%
86	10	0.1%
85	13	0.1%
84	12	0.1%
83	18	0.1%

mentality_composure
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	85
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	58.52877777

Minimum	12
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	12
5-th percentile	37
Q1	51
median	60
Q3	67
95-th percentile	76
Maximum	96
Range	84
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.88084033
Coefficient of variation (CV)	0.2029914305
Kurtosis	0.3264259955
Mean	58.52877777
Median Absolute Deviation (MAD)	8
Skewness	-0.4638885244
Sum	1069789
Variance	141.1543668
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
58	732	4.0%
60	728	4.0%
65	703	3.8%
62	697	3.8%
55	662	3.6%
64	657	3.6%
63	609	3.3%
59	591	3.2%
68	591	3.2%
56	557	3.0%
Other values (75)	11751	64.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12	3	< 0.1%
13	4	< 0.1%
14	1	< 0.1%
15	2	< 0.1%
16	2	< 0.1%
17	2	< 0.1%
18	4	< 0.1%
19	2	< 0.1%
20	7	< 0.1%
21	29	0.2%

Value	Count	Frequency (%)
96	1	< 0.1%
95	2	< 0.1%
94	1	< 0.1%
93	1	< 0.1%
92	5	< 0.1%
91	4	< 0.1%
90	5	< 0.1%
89	5	< 0.1%
88	6	< 0.1%
87	18	0.1%

defending_marking
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	92
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.84888938

Minimum	1
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	12
Q1	29
median	52
Q3	64
95-th percentile	74
Maximum	94
Range	93
Interquartile range (IQR)	35

Descriptive statistics

Standard deviation	20.09128731
Coefficient of variation (CV)	0.4288530117
Kurtosis	-1.099496279
Mean	46.84888938
Median Absolute Deviation (MAD)	15
Skewness	-0.3460610475
Sum	856304
Variance	403.6598256
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	518	2.8%
65	510	2.8%
64	494	2.7%
62	489	2.7%
58	486	2.7%
66	459	2.5%
63	423	2.3%
55	415	2.3%
68	414	2.3%
59	407	2.2%
Other values (82)	13663	74.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	1	< 0.1%
4	2	< 0.1%
5	46	0.3%
6	55	0.3%
7	72	0.4%
8	109	0.6%
9	116	0.6%
10	162	0.9%
11	152	0.8%

Value	Count	Frequency (%)
94	1	< 0.1%
92	1	< 0.1%
91	2	< 0.1%
90	8	< 0.1%
89	3	< 0.1%
88	6	< 0.1%
87	5	< 0.1%
86	9	< 0.1%
85	14	0.1%
84	12	0.1%

defending_standing_tackle
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	88
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.64033264

Minimum	5
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	5
5-th percentile	13
Q1	27
median	55
Q3	66
95-th percentile	75
Maximum	92
Range	87
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	21.58564105
Coefficient of variation (CV)	0.4530959348
Kurtosis	-1.301904281
Mean	47.64033264
Median Absolute Deviation (MAD)	16
Skewness	-0.3425866337
Sum	870770
Variance	465.9398997
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	616	3.4%
65	595	3.3%
66	547	3.0%
63	532	2.9%
68	519	2.8%
67	504	2.8%
62	502	2.7%
70	445	2.4%
13	413	2.3%
60	400	2.2%
Other values (78)	13205	72.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
6	3	< 0.1%
7	9	< 0.1%
8	16	0.1%
9	39	0.2%
10	181	1.0%
11	312	1.7%
12	341	1.9%
13	413	2.3%
14	389	2.1%

Value	Count	Frequency (%)
92	1	< 0.1%
91	2	< 0.1%
90	3	< 0.1%
89	4	< 0.1%
88	4	< 0.1%
87	13	0.1%
86	15	0.1%
85	17	0.1%
84	27	0.1%
83	45	0.2%

defending_sliding_tackle
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	88
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.60663092

Minimum	3
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	3
5-th percentile	12
Q1	24
median	52
Q3	64
95-th percentile	74
Maximum	90
Range	87
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	21.21773423
Coefficient of variation (CV)	0.4652335373
Kurtosis	-1.354927422
Mean	45.60663092
Median Absolute Deviation (MAD)	16
Skewness	-0.2741578501
Sum	833598
Variance	450.1922458
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
62	563	3.1%
64	556	3.0%
63	547	3.0%
65	505	2.8%
60	472	2.6%
66	471	2.6%
61	453	2.5%
12	428	2.3%
13	426	2.3%
68	422	2.3%
Other values (78)	13435	73.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	2	< 0.1%
7	4	< 0.1%
8	14	0.1%
9	44	0.2%
10	205	1.1%
11	329	1.8%
12	428	2.3%

Value	Count	Frequency (%)
90	2	< 0.1%
89	2	< 0.1%
88	4	< 0.1%
87	5	< 0.1%
86	12	0.1%
85	13	0.1%
84	13	0.1%
83	16	0.1%
82	33	0.2%
81	38	0.2%

goalkeeping_diving
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	73
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.57276507

Minimum	1
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	8
median	11
Q3	14
95-th percentile	66
Maximum	90
Range	89
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	17.73806906
Coefficient of variation (CV)	1.070314397
Kurtosis	4.445187147
Mean	16.57276507
Median Absolute Deviation (MAD)	3
Skewness	2.442975245
Sum	302917
Variance	314.6390941
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	1621	8.9%
9	1607	8.8%
7	1602	8.8%
12	1589	8.7%
10	1588	8.7%
14	1584	8.7%
13	1553	8.5%
11	1546	8.5%
6	1345	7.4%
15	1205	6.6%
Other values (63)	3038	16.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11	0.1%
2	5	< 0.1%
3	17	0.1%
4	23	0.1%
5	450	2.5%
6	1345	7.4%
7	1602	8.8%
8	1621	8.9%
9	1607	8.8%
10	1588	8.7%

Value	Count	Frequency (%)
90	3	< 0.1%
89	1	< 0.1%
88	2	< 0.1%
87	3	< 0.1%
86	4	< 0.1%
85	6	< 0.1%
84	10	0.1%
83	7	< 0.1%
82	15	0.1%
81	12	0.1%

goalkeeping_handling
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	71
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.35485283

Minimum	1
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	8
median	11
Q3	14
95-th percentile	64
Maximum	92
Range	91
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	16.99692518
Coefficient of variation (CV)	1.039258828
Kurtosis	4.397253099
Mean	16.35485283
Median Absolute Deviation (MAD)	3
Skewness	2.429535778
Sum	298934
Variance	288.8954656
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	1621	8.9%
12	1615	8.8%
10	1613	8.8%
7	1599	8.7%
8	1595	8.7%
14	1585	8.7%
9	1573	8.6%
13	1542	8.4%
6	1300	7.1%
15	1156	6.3%
Other values (61)	3079	16.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11	0.1%
2	7	< 0.1%
3	19	0.1%
4	20	0.1%
5	418	2.3%
6	1300	7.1%
7	1599	8.7%
8	1595	8.7%
9	1573	8.6%
10	1613	8.8%

Value	Count	Frequency (%)
92	1	< 0.1%
89	1	< 0.1%
87	1	< 0.1%
86	1	< 0.1%
85	3	< 0.1%
84	5	< 0.1%
83	3	< 0.1%
82	12	0.1%
81	6	< 0.1%
80	11	0.1%

goalkeeping_kicking
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	81
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.21293358

Minimum	1
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	8
median	11
Q3	14
95-th percentile	62
Maximum	93
Range	92
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	16.61366476
Coefficient of variation (CV)	1.02471676
Kurtosis	4.460612322
Mean	16.21293358
Median Absolute Deviation (MAD)	3
Skewness	2.432849777
Sum	296340
Variance	276.0138569
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	1684	9.2%
12	1634	8.9%
13	1617	8.8%
7	1603	8.8%
10	1576	8.6%
14	1562	8.5%
8	1555	8.5%
11	1538	8.4%
6	1259	6.9%
15	1101	6.0%
Other values (71)	3149	17.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	12	0.1%
2	5	< 0.1%
3	20	0.1%
4	18	0.1%
5	459	2.5%
6	1259	6.9%
7	1603	8.8%
8	1555	8.5%
9	1684	9.2%
10	1576	8.6%

Value	Count	Frequency (%)
93	1	< 0.1%
91	1	< 0.1%
90	1	< 0.1%
88	1	< 0.1%
87	1	< 0.1%
86	2	< 0.1%
85	2	< 0.1%
84	3	< 0.1%
82	4	< 0.1%
81	7	< 0.1%

goalkeeping_positioning
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	76
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.36803808

Minimum	1
Maximum	91
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	8
median	11
Q3	14
95-th percentile	65
Maximum	91
Range	90
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	17.13649698
Coefficient of variation (CV)	1.046948748
Kurtosis	4.594685654
Mean	16.36803808
Median Absolute Deviation (MAD)	3
Skewness	2.460665744
Sum	299175
Variance	293.6595288
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	1647	9.0%
10	1636	9.0%
11	1623	8.9%
9	1614	8.8%
7	1579	8.6%
12	1578	8.6%
14	1539	8.4%
13	1514	8.3%
6	1264	6.9%
15	1224	6.7%
Other values (66)	3060	16.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11	0.1%
2	6	< 0.1%
3	14	0.1%
4	25	0.1%
5	440	2.4%
6	1264	6.9%
7	1579	8.6%
8	1647	9.0%
9	1614	8.8%
10	1636	9.0%

Value	Count	Frequency (%)
91	1	< 0.1%
90	2	< 0.1%
89	1	< 0.1%
88	1	< 0.1%
86	4	< 0.1%
85	4	< 0.1%
84	5	< 0.1%
83	4	< 0.1%
82	14	0.1%
81	10	0.1%

goalkeeping_reflexes
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	75
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.7099245

Minimum	1
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	142.9 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	8
median	11
Q3	14
95-th percentile	67
Maximum	92
Range	91
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	18.03812541
Coefficient of variation (CV)	1.079485752
Kurtosis	4.516406184
Mean	16.7099245
Median Absolute Deviation (MAD)	3
Skewness	2.455487658
Sum	305424
Variance	325.3739684
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	1650	9.0%
12	1615	8.8%
8	1590	8.7%
9	1588	8.7%
10	1586	8.7%
13	1574	8.6%
14	1565	8.6%
7	1554	8.5%
6	1311	7.2%
15	1175	6.4%
Other values (65)	3070	16.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11	0.1%
2	3	< 0.1%
3	22	0.1%
4	23	0.1%
5	448	2.5%
6	1311	7.2%
7	1554	8.5%
8	1590	8.7%
9	1588	8.7%
10	1586	8.7%

Value	Count	Frequency (%)
92	1	< 0.1%
91	1	< 0.1%
90	3	< 0.1%
89	5	< 0.1%
88	5	< 0.1%
87	5	< 0.1%
86	6	< 0.1%
85	7	< 0.1%
84	13	0.1%
83	17	0.1%

ls
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	94
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	725
58+2	710
57+2	706
63+2	706
60+2	684
Other values (89)	12711

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	0.1%

Sample

1st row	89+2
2nd row	91+3
3rd row	84+3
4th row	83+3
5th row	82+3

Common Values

Value	Count	Frequency (%)
61+2	725	4.0%
58+2	710	3.9%
57+2	706	3.9%
63+2	706	3.9%
60+2	684	3.7%
59+2	651	3.6%
62+2	641	3.5%
64+2	639	3.5%
55+2	578	3.2%
56+2	567	3.1%
Other values (84)	9635	52.7%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	725	4.5%
58+2	710	4.4%
57+2	706	4.3%
63+2	706	4.3%
60+2	684	4.2%
59+2	651	4.0%
62+2	641	3.9%
64+2	639	3.9%
55+2	578	3.6%
56+2	567	3.5%
Other values (84)	9635	59.3%

Most occurring characters

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17539	36.0%
6	7360	15.1%
5	7278	14.9%
4	4317	8.9%
7	3212	6.6%
3	2423	5.0%
1	1744	3.6%
8	1690	3.5%
0	1602	3.3%
9	1561	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

st
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	94
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	725
58+2	710
57+2	706
63+2	706
60+2	684
Other values (89)	12711

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	0.1%

Sample

1st row	89+2
2nd row	91+3
3rd row	84+3
4th row	83+3
5th row	82+3

Common Values

Value	Count	Frequency (%)
61+2	725	4.0%
58+2	710	3.9%
57+2	706	3.9%
63+2	706	3.9%
60+2	684	3.7%
59+2	651	3.6%
62+2	641	3.5%
64+2	639	3.5%
55+2	578	3.2%
56+2	567	3.1%
Other values (84)	9635	52.7%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	725	4.5%
58+2	710	4.4%
57+2	706	4.3%
63+2	706	4.3%
60+2	684	4.2%
59+2	651	4.0%
62+2	641	3.9%
64+2	639	3.9%
55+2	578	3.6%
56+2	567	3.5%
Other values (84)	9635	59.3%

Most occurring characters

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17539	36.0%
6	7360	15.1%
5	7278	14.9%
4	4317	8.9%
7	3212	6.6%
3	2423	5.0%
1	1744	3.6%
8	1690	3.5%
0	1602	3.3%
9	1561	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

rs
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	94
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	725
58+2	710
57+2	706
63+2	706
60+2	684
Other values (89)	12711

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	0.1%

Sample

1st row	89+2
2nd row	91+3
3rd row	84+3
4th row	83+3
5th row	82+3

Common Values

Value	Count	Frequency (%)
61+2	725	4.0%
58+2	710	3.9%
57+2	706	3.9%
63+2	706	3.9%
60+2	684	3.7%
59+2	651	3.6%
62+2	641	3.5%
64+2	639	3.5%
55+2	578	3.2%
56+2	567	3.1%
Other values (84)	9635	52.7%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	725	4.5%
58+2	710	4.4%
57+2	706	4.3%
63+2	706	4.3%
60+2	684	4.2%
59+2	651	4.0%
62+2	641	3.9%
64+2	639	3.9%
55+2	578	3.6%
56+2	567	3.5%
Other values (84)	9635	59.3%

Most occurring characters

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17539	36.0%
6	7360	15.1%
5	7278	14.9%
4	4317	8.9%
7	3212	6.6%
3	2423	5.0%
1	1744	3.6%
8	1690	3.5%
0	1602	3.3%
9	1561	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17539	27.0%
+	16242	25.0%
6	7360	11.3%
5	7278	11.2%
4	4317	6.6%
7	3212	4.9%
3	2423	3.7%
1	1744	2.7%
8	1690	2.6%
0	1602	2.5%

lw
Categorical

HIGH CARDINALITY
MISSING

Distinct	107
Distinct (%)	0.7%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	736
64+2	731
60+2	700
59+2	695
61+2	694
Other values (102)	12686

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	89+3
3rd row	90+3
4th row	89+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
63+2	736	4.0%
64+2	731	4.0%
60+2	700	3.8%
59+2	695	3.8%
61+2	694	3.8%
62+2	681	3.7%
65+2	677	3.7%
58+2	623	3.4%
66+2	612	3.3%
57+2	589	3.2%
Other values (97)	9504	52.0%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	736	4.5%
64+2	731	4.5%
60+2	700	4.3%
59+2	695	4.3%
61+2	694	4.3%
62+2	681	4.2%
65+2	677	4.2%
58+2	623	3.8%
66+2	612	3.8%
57+2	589	3.6%
Other values (97)	9504	58.5%

Most occurring characters

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	7981	12.3%
5	6689	10.3%
4	3654	5.6%
7	3628	5.6%
3	2656	4.1%
8	1685	2.6%
9	1638	2.5%
1	1614	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17587	36.1%
6	7981	16.4%
5	6689	13.7%
4	3654	7.5%
7	3628	7.4%
3	2656	5.5%
8	1685	3.5%
9	1638	3.4%
1	1614	3.3%
0	1594	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	7981	12.3%
5	6689	10.3%
4	3654	5.6%
7	3628	5.6%
3	2656	4.1%
8	1685	2.6%
9	1638	2.5%
1	1614	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	7981	12.3%
5	6689	10.3%
4	3654	5.6%
7	3628	5.6%
3	2656	4.1%
8	1685	2.6%
9	1638	2.5%
1	1614	2.5%

lf
Categorical

HIGH CARDINALITY
MISSING

Distinct	103
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	727
60+2	725
62+2	713
61+2	702
64+2	683
Other values (98)	12692

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	90+3
3rd row	89+3
4th row	88+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
63+2	727	4.0%
60+2	725	4.0%
62+2	713	3.9%
61+2	702	3.8%
64+2	683	3.7%
59+2	668	3.7%
65+2	632	3.5%
58+2	596	3.3%
66+2	596	3.3%
57+2	581	3.2%
Other values (93)	9619	52.6%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	727	4.5%
60+2	725	4.5%
62+2	713	4.4%
61+2	702	4.3%
64+2	683	4.2%
59+2	668	4.1%
65+2	632	3.9%
58+2	596	3.7%
66+2	596	3.7%
57+2	581	3.6%
Other values (93)	9619	59.2%

Most occurring characters

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17552	36.0%
6	7904	16.2%
5	6695	13.7%
4	3750	7.7%
7	3500	7.2%
3	2666	5.5%
0	1692	3.5%
8	1673	3.4%
1	1662	3.4%
9	1632	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

cf
Categorical

HIGH CARDINALITY
MISSING

Distinct	103
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	727
60+2	725
62+2	713
61+2	702
64+2	683
Other values (98)	12692

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	90+3
3rd row	89+3
4th row	88+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
63+2	727	4.0%
60+2	725	4.0%
62+2	713	3.9%
61+2	702	3.8%
64+2	683	3.7%
59+2	668	3.7%
65+2	632	3.5%
58+2	596	3.3%
66+2	596	3.3%
57+2	581	3.2%
Other values (93)	9619	52.6%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	727	4.5%
60+2	725	4.5%
62+2	713	4.4%
61+2	702	4.3%
64+2	683	4.2%
59+2	668	4.1%
65+2	632	3.9%
58+2	596	3.7%
66+2	596	3.7%
57+2	581	3.6%
Other values (93)	9619	59.2%

Most occurring characters

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17552	36.0%
6	7904	16.2%
5	6695	13.7%
4	3750	7.7%
7	3500	7.2%
3	2666	5.5%
0	1692	3.5%
8	1673	3.4%
1	1662	3.4%
9	1632	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

rf
Categorical

HIGH CARDINALITY
MISSING

Distinct	103
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	727
60+2	725
62+2	713
61+2	702
64+2	683
Other values (98)	12692

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	90+3
3rd row	89+3
4th row	88+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
63+2	727	4.0%
60+2	725	4.0%
62+2	713	3.9%
61+2	702	3.8%
64+2	683	3.7%
59+2	668	3.7%
65+2	632	3.5%
58+2	596	3.3%
66+2	596	3.3%
57+2	581	3.2%
Other values (93)	9619	52.6%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	727	4.5%
60+2	725	4.5%
62+2	713	4.4%
61+2	702	4.3%
64+2	683	4.2%
59+2	668	4.1%
65+2	632	3.9%
58+2	596	3.7%
66+2	596	3.7%
57+2	581	3.6%
Other values (93)	9619	59.2%

Most occurring characters

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17552	36.0%
6	7904	16.2%
5	6695	13.7%
4	3750	7.7%
7	3500	7.2%
3	2666	5.5%
0	1692	3.5%
8	1673	3.4%
1	1662	3.4%
9	1632	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17552	27.0%
+	16242	25.0%
6	7904	12.2%
5	6695	10.3%
4	3750	5.8%
7	3500	5.4%
3	2666	4.1%
0	1692	2.6%
8	1673	2.6%
1	1662	2.6%

rw
Categorical

HIGH CARDINALITY
MISSING

Distinct	107
Distinct (%)	0.7%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	736
64+2	731
60+2	700
59+2	695
61+2	694
Other values (102)	12686

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	89+3
3rd row	90+3
4th row	89+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
63+2	736	4.0%
64+2	731	4.0%
60+2	700	3.8%
59+2	695	3.8%
61+2	694	3.8%
62+2	681	3.7%
65+2	677	3.7%
58+2	623	3.4%
66+2	612	3.3%
57+2	589	3.2%
Other values (97)	9504	52.0%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	736	4.5%
64+2	731	4.5%
60+2	700	4.3%
59+2	695	4.3%
61+2	694	4.3%
62+2	681	4.2%
65+2	677	4.2%
58+2	623	3.8%
66+2	612	3.8%
57+2	589	3.6%
Other values (97)	9504	58.5%

Most occurring characters

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	7981	12.3%
5	6689	10.3%
4	3654	5.6%
7	3628	5.6%
3	2656	4.1%
8	1685	2.6%
9	1638	2.5%
1	1614	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17587	36.1%
6	7981	16.4%
5	6689	13.7%
4	3654	7.5%
7	3628	7.4%
3	2656	5.5%
8	1685	3.5%
9	1638	3.4%
1	1614	3.3%
0	1594	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	7981	12.3%
5	6689	10.3%
4	3654	5.6%
7	3628	5.6%
3	2656	4.1%
8	1685	2.6%
9	1638	2.5%
1	1614	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	7981	12.3%
5	6689	10.3%
4	3654	5.6%
7	3628	5.6%
3	2656	4.1%
8	1685	2.6%
9	1638	2.5%
1	1614	2.5%

lam
Categorical

HIGH CARDINALITY
MISSING

Distinct	103
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	748
62+2	736
63+2	736
64+2	680
60+2	671
Other values (98)	12671

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	88+3
3rd row	90+3
4th row	89+3
5th row	88+3

Common Values

Value	Count	Frequency (%)
61+2	748	4.1%
62+2	736	4.0%
63+2	736	4.0%
64+2	680	3.7%
60+2	671	3.7%
58+2	662	3.6%
59+2	659	3.6%
65+2	654	3.6%
57+2	627	3.4%
66+2	595	3.3%
Other values (93)	9474	51.8%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	748	4.6%
62+2	736	4.5%
63+2	736	4.5%
64+2	680	4.2%
60+2	671	4.1%
58+2	662	4.1%
59+2	659	4.1%
65+2	654	4.0%
57+2	627	3.9%
66+2	595	3.7%
Other values (93)	9474	58.3%

Most occurring characters

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17652	36.2%
6	7889	16.2%
5	6760	13.9%
4	3660	7.5%
7	3606	7.4%
3	2598	5.3%
8	1746	3.6%
1	1629	3.3%
0	1606	3.3%
9	1580	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

cam
Categorical

HIGH CARDINALITY
MISSING

Distinct	103
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	748
62+2	736
63+2	736
64+2	680
60+2	671
Other values (98)	12671

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	88+3
3rd row	90+3
4th row	89+3
5th row	88+3

Common Values

Value	Count	Frequency (%)
61+2	748	4.1%
62+2	736	4.0%
63+2	736	4.0%
64+2	680	3.7%
60+2	671	3.7%
58+2	662	3.6%
59+2	659	3.6%
65+2	654	3.6%
57+2	627	3.4%
66+2	595	3.3%
Other values (93)	9474	51.8%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	748	4.6%
62+2	736	4.5%
63+2	736	4.5%
64+2	680	4.2%
60+2	671	4.1%
58+2	662	4.1%
59+2	659	4.1%
65+2	654	4.0%
57+2	627	3.9%
66+2	595	3.7%
Other values (93)	9474	58.3%

Most occurring characters

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17652	36.2%
6	7889	16.2%
5	6760	13.9%
4	3660	7.5%
7	3606	7.4%
3	2598	5.3%
8	1746	3.6%
1	1629	3.3%
0	1606	3.3%
9	1580	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

ram
Categorical

HIGH CARDINALITY
MISSING

Distinct	103
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	748
62+2	736
63+2	736
64+2	680
60+2	671
Other values (98)	12671

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	93+2
2nd row	88+3
3rd row	90+3
4th row	89+3
5th row	88+3

Common Values

Value	Count	Frequency (%)
61+2	748	4.1%
62+2	736	4.0%
63+2	736	4.0%
64+2	680	3.7%
60+2	671	3.7%
58+2	662	3.6%
59+2	659	3.6%
65+2	654	3.6%
57+2	627	3.4%
66+2	595	3.3%
Other values (93)	9474	51.8%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	748	4.6%
62+2	736	4.5%
63+2	736	4.5%
64+2	680	4.2%
60+2	671	4.1%
58+2	662	4.1%
59+2	659	4.1%
65+2	654	4.0%
57+2	627	3.9%
66+2	595	3.7%
Other values (93)	9474	58.3%

Most occurring characters

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17652	36.2%
6	7889	16.2%
5	6760	13.9%
4	3660	7.5%
7	3606	7.4%
3	2598	5.3%
8	1746	3.6%
1	1629	3.3%
0	1606	3.3%
9	1580	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17652	27.2%
+	16242	25.0%
6	7889	12.1%
5	6760	10.4%
4	3660	5.6%
7	3606	5.6%
3	2598	4.0%
8	1746	2.7%
1	1629	2.5%
0	1606	2.5%

lm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	100
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	809
63+2	763
64+2	729
62+2	726
65+2	726
Other values (95)	12489

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	92+2
2nd row	88+3
3rd row	89+3
4th row	89+3
5th row	88+3

Common Values

Value	Count	Frequency (%)
61+2	809	4.4%
63+2	763	4.2%
64+2	729	4.0%
62+2	726	4.0%
65+2	726	4.0%
60+2	718	3.9%
66+2	688	3.8%
58+2	674	3.7%
59+2	661	3.6%
57+2	623	3.4%
Other values (90)	9125	49.9%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	809	5.0%
63+2	763	4.7%
64+2	729	4.5%
62+2	726	4.5%
65+2	726	4.5%
60+2	718	4.4%
66+2	688	4.2%
58+2	674	4.1%
59+2	661	4.1%
57+2	623	3.8%
Other values (90)	9125	56.2%

Most occurring characters

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	8374	12.9%
5	6662	10.3%
7	3664	5.6%
4	3500	5.4%
3	2376	3.7%
8	1702	2.6%
1	1679	2.6%
0	1645	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17587	36.1%
6	8374	17.2%
5	6662	13.7%
7	3664	7.5%
4	3500	7.2%
3	2376	4.9%
8	1702	3.5%
1	1679	3.4%
0	1645	3.4%
9	1537	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	8374	12.9%
5	6662	10.3%
7	3664	5.6%
4	3500	5.4%
3	2376	3.7%
8	1702	2.6%
1	1679	2.6%
0	1645	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	8374	12.9%
5	6662	10.3%
7	3664	5.6%
4	3500	5.4%
3	2376	3.7%
8	1702	2.6%
1	1679	2.6%
0	1645	2.5%

lcm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	88
Distinct (%)	0.5%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

58+2	775
59+2	737
61+2	734
60+2	731
63+2	714
Other values (83)	12551

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	87+2
2nd row	81+3
3rd row	82+3
4th row	83+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
58+2	775	4.2%
59+2	737	4.0%
61+2	734	4.0%
60+2	731	4.0%
63+2	714	3.9%
62+2	698	3.8%
57+2	695	3.8%
56+2	669	3.7%
54+2	641	3.5%
64+2	634	3.5%
Other values (78)	9214	50.4%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
58+2	775	4.8%
59+2	737	4.5%
61+2	734	4.5%
60+2	731	4.5%
63+2	714	4.4%
62+2	698	4.3%
57+2	695	4.3%
56+2	669	4.1%
54+2	641	3.9%
64+2	634	3.9%
Other values (78)	9214	56.7%

Most occurring characters

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17582	36.1%
5	7728	15.9%
6	7412	15.2%
4	4013	8.2%
7	3102	6.4%
3	2301	4.7%
8	1763	3.6%
9	1613	3.3%
1	1606	3.3%
0	1606	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

cm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	88
Distinct (%)	0.5%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

58+2	775
59+2	737
61+2	734
60+2	731
63+2	714
Other values (83)	12551

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	87+2
2nd row	81+3
3rd row	82+3
4th row	83+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
58+2	775	4.2%
59+2	737	4.0%
61+2	734	4.0%
60+2	731	4.0%
63+2	714	3.9%
62+2	698	3.8%
57+2	695	3.8%
56+2	669	3.7%
54+2	641	3.5%
64+2	634	3.5%
Other values (78)	9214	50.4%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
58+2	775	4.8%
59+2	737	4.5%
61+2	734	4.5%
60+2	731	4.5%
63+2	714	4.4%
62+2	698	4.3%
57+2	695	4.3%
56+2	669	4.1%
54+2	641	3.9%
64+2	634	3.9%
Other values (78)	9214	56.7%

Most occurring characters

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17582	36.1%
5	7728	15.9%
6	7412	15.2%
4	4013	8.2%
7	3102	6.4%
3	2301	4.7%
8	1763	3.6%
9	1613	3.3%
1	1606	3.3%
0	1606	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

rcm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	88
Distinct (%)	0.5%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

58+2	775
59+2	737
61+2	734
60+2	731
63+2	714
Other values (83)	12551

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	87+2
2nd row	81+3
3rd row	82+3
4th row	83+3
5th row	87+3

Common Values

Value	Count	Frequency (%)
58+2	775	4.2%
59+2	737	4.0%
61+2	734	4.0%
60+2	731	4.0%
63+2	714	3.9%
62+2	698	3.8%
57+2	695	3.8%
56+2	669	3.7%
54+2	641	3.5%
64+2	634	3.5%
Other values (78)	9214	50.4%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
58+2	775	4.8%
59+2	737	4.5%
61+2	734	4.5%
60+2	731	4.5%
63+2	714	4.4%
62+2	698	4.3%
57+2	695	4.3%
56+2	669	4.1%
54+2	641	3.9%
64+2	634	3.9%
Other values (78)	9214	56.7%

Most occurring characters

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17582	36.1%
5	7728	15.9%
6	7412	15.2%
4	4013	8.2%
7	3102	6.4%
3	2301	4.7%
8	1763	3.6%
9	1613	3.3%
1	1606	3.3%
0	1606	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17582	27.1%
+	16242	25.0%
5	7728	11.9%
6	7412	11.4%
4	4013	6.2%
7	3102	4.8%
3	2301	3.5%
8	1763	2.7%
9	1613	2.5%
1	1606	2.5%

rm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	100
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	809
63+2	763
64+2	729
62+2	726
65+2	726
Other values (95)	12489

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	92+2
2nd row	88+3
3rd row	89+3
4th row	89+3
5th row	88+3

Common Values

Value	Count	Frequency (%)
61+2	809	4.4%
63+2	763	4.2%
64+2	729	4.0%
62+2	726	4.0%
65+2	726	4.0%
60+2	718	3.9%
66+2	688	3.8%
58+2	674	3.7%
59+2	661	3.6%
57+2	623	3.4%
Other values (90)	9125	49.9%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	809	5.0%
63+2	763	4.7%
64+2	729	4.5%
62+2	726	4.5%
65+2	726	4.5%
60+2	718	4.4%
66+2	688	4.2%
58+2	674	4.1%
59+2	661	4.1%
57+2	623	3.8%
Other values (90)	9125	56.2%

Most occurring characters

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	8374	12.9%
5	6662	10.3%
7	3664	5.6%
4	3500	5.4%
3	2376	3.7%
8	1702	2.6%
1	1679	2.6%
0	1645	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17587	36.1%
6	8374	17.2%
5	6662	13.7%
7	3664	7.5%
4	3500	7.2%
3	2376	4.9%
8	1702	3.5%
1	1679	3.4%
0	1645	3.4%
9	1537	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	8374	12.9%
5	6662	10.3%
7	3664	5.6%
4	3500	5.4%
3	2376	3.7%
8	1702	2.6%
1	1679	2.6%
0	1645	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17587	27.1%
+	16242	25.0%
6	8374	12.9%
5	6662	10.3%
7	3664	5.6%
4	3500	5.4%
3	2376	3.7%
8	1702	2.6%
1	1679	2.6%
0	1645	2.5%

lwb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

59+2	682
62+2	668
57+2	664
61+2	656
55+2	648
Other values (93)	12924

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	68+2
2nd row	65+3
3rd row	66+3
4th row	66+3
5th row	77+3

Common Values

Value	Count	Frequency (%)
59+2	682	3.7%
62+2	668	3.7%
57+2	664	3.6%
61+2	656	3.6%
55+2	648	3.5%
60+2	640	3.5%
56+2	639	3.5%
58+2	634	3.5%
63+2	625	3.4%
54+2	618	3.4%
Other values (88)	9768	53.4%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
59+2	682	4.2%
62+2	668	4.1%
57+2	664	4.1%
61+2	656	4.0%
55+2	648	4.0%
60+2	640	3.9%
56+2	639	3.9%
58+2	634	3.9%
63+2	625	3.8%
54+2	618	3.8%
Other values (88)	9768	60.1%

Most occurring characters

Value	Count	Frequency (%)
2	17592	27.1%
+	16242	25.0%
5	7682	11.8%
6	7155	11.0%
4	4471	6.9%
7	3002	4.6%
3	2336	3.6%
8	1640	2.5%
9	1634	2.5%
1	1624	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17592	36.1%
5	7682	15.8%
6	7155	14.7%
4	4471	9.2%
7	3002	6.2%
3	2336	4.8%
8	1640	3.4%
9	1634	3.4%
1	1624	3.3%
0	1590	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17592	27.1%
+	16242	25.0%
5	7682	11.8%
6	7155	11.0%
4	4471	6.9%
7	3002	4.6%
3	2336	3.6%
8	1640	2.5%
9	1634	2.5%
1	1624	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17592	27.1%
+	16242	25.0%
5	7682	11.8%
6	7155	11.0%
4	4471	6.9%
7	3002	4.6%
3	2336	3.6%
8	1640	2.5%
9	1634	2.5%
1	1624	2.5%

ldm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

59+2	636
62+2	625
58+2	612
63+2	609
64+2	563
Other values (93)	13197

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	< 0.1%

Sample

1st row	66+2
2nd row	61+3
3rd row	61+3
4th row	63+3
5th row	77+3

Common Values

Value	Count	Frequency (%)
59+2	636	3.5%
62+2	625	3.4%
58+2	612	3.3%
63+2	609	3.3%
64+2	563	3.1%
60+2	562	3.1%
61+2	554	3.0%
57+2	524	2.9%
66+2	521	2.9%
56+2	519	2.8%
Other values (88)	10517	57.5%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
59+2	636	3.9%
62+2	625	3.8%
58+2	612	3.8%
63+2	609	3.7%
64+2	563	3.5%
60+2	562	3.5%
61+2	554	3.4%
57+2	524	3.2%
66+2	521	3.2%
56+2	519	3.2%
Other values (88)	10517	64.8%

Most occurring characters

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17565	36.0%
6	6934	14.2%
5	6754	13.9%
4	4998	10.3%
7	3150	6.5%
3	2825	5.8%
8	1764	3.6%
9	1672	3.4%
0	1547	3.2%
1	1517	3.1%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

cdm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

59+2	636
62+2	625
58+2	612
63+2	609
64+2	563
Other values (93)	13197

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	< 0.1%

Sample

1st row	66+2
2nd row	61+3
3rd row	61+3
4th row	63+3
5th row	77+3

Common Values

Value	Count	Frequency (%)
59+2	636	3.5%
62+2	625	3.4%
58+2	612	3.3%
63+2	609	3.3%
64+2	563	3.1%
60+2	562	3.1%
61+2	554	3.0%
57+2	524	2.9%
66+2	521	2.9%
56+2	519	2.8%
Other values (88)	10517	57.5%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
59+2	636	3.9%
62+2	625	3.8%
58+2	612	3.8%
63+2	609	3.7%
64+2	563	3.5%
60+2	562	3.5%
61+2	554	3.4%
57+2	524	3.2%
66+2	521	3.2%
56+2	519	3.2%
Other values (88)	10517	64.8%

Most occurring characters

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17565	36.0%
6	6934	14.2%
5	6754	13.9%
4	4998	10.3%
7	3150	6.5%
3	2825	5.8%
8	1764	3.6%
9	1672	3.4%
0	1547	3.2%
1	1517	3.1%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

rdm
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

59+2	636
62+2	625
58+2	612
63+2	609
64+2	563
Other values (93)	13197

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	< 0.1%

Sample

1st row	66+2
2nd row	61+3
3rd row	61+3
4th row	63+3
5th row	77+3

Common Values

Value	Count	Frequency (%)
59+2	636	3.5%
62+2	625	3.4%
58+2	612	3.3%
63+2	609	3.3%
64+2	563	3.1%
60+2	562	3.1%
61+2	554	3.0%
57+2	524	2.9%
66+2	521	2.9%
56+2	519	2.8%
Other values (88)	10517	57.5%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
59+2	636	3.9%
62+2	625	3.8%
58+2	612	3.8%
63+2	609	3.7%
64+2	563	3.5%
60+2	562	3.5%
61+2	554	3.4%
57+2	524	3.2%
66+2	521	3.2%
56+2	519	3.2%
Other values (88)	10517	64.8%

Most occurring characters

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17565	36.0%
6	6934	14.2%
5	6754	13.9%
4	4998	10.3%
7	3150	6.5%
3	2825	5.8%
8	1764	3.6%
9	1672	3.4%
0	1547	3.2%
1	1517	3.1%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17565	27.0%
+	16242	25.0%
6	6934	10.7%
5	6754	10.4%
4	4998	7.7%
7	3150	4.8%
3	2825	4.3%
8	1764	2.7%
9	1672	2.6%
0	1547	2.4%

rwb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	98
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

59+2	682
62+2	668
57+2	664
61+2	656
55+2	648
Other values (93)	12924

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	68+2
2nd row	65+3
3rd row	66+3
4th row	66+3
5th row	77+3

Common Values

Value	Count	Frequency (%)
59+2	682	3.7%
62+2	668	3.7%
57+2	664	3.6%
61+2	656	3.6%
55+2	648	3.5%
60+2	640	3.5%
56+2	639	3.5%
58+2	634	3.5%
63+2	625	3.4%
54+2	618	3.4%
Other values (88)	9768	53.4%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
59+2	682	4.2%
62+2	668	4.1%
57+2	664	4.1%
61+2	656	4.0%
55+2	648	4.0%
60+2	640	3.9%
56+2	639	3.9%
58+2	634	3.9%
63+2	625	3.8%
54+2	618	3.8%
Other values (88)	9768	60.1%

Most occurring characters

Value	Count	Frequency (%)
2	17592	27.1%
+	16242	25.0%
5	7682	11.8%
6	7155	11.0%
4	4471	6.9%
7	3002	4.6%
3	2336	3.6%
8	1640	2.5%
9	1634	2.5%
1	1624	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17592	36.1%
5	7682	15.8%
6	7155	14.7%
4	4471	9.2%
7	3002	6.2%
3	2336	4.8%
8	1640	3.4%
9	1634	3.4%
1	1624	3.3%
0	1590	3.3%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17592	27.1%
+	16242	25.0%
5	7682	11.8%
6	7155	11.0%
4	4471	6.9%
7	3002	4.6%
3	2336	3.6%
8	1640	2.5%
9	1634	2.5%
1	1624	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17592	27.1%
+	16242	25.0%
5	7682	11.8%
6	7155	11.0%
4	4471	6.9%
7	3002	4.6%
3	2336	3.6%
8	1640	2.5%
9	1634	2.5%
1	1624	2.5%

lb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	96
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	667
63+2	660
62+2	642
59+2	639
60+2	598
Other values (91)	13036

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	63+2
2nd row	61+3
3rd row	61+3
4th row	61+3
5th row	73+3

Common Values

Value	Count	Frequency (%)
61+2	667	3.6%
63+2	660	3.6%
62+2	642	3.5%
59+2	639	3.5%
60+2	598	3.3%
57+2	596	3.3%
56+2	595	3.3%
58+2	590	3.2%
64+2	576	3.2%
65+2	551	3.0%
Other values (86)	10128	55.4%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	667	4.1%
63+2	660	4.1%
62+2	642	4.0%
59+2	639	3.9%
60+2	598	3.7%
57+2	596	3.7%
56+2	595	3.7%
58+2	590	3.6%
64+2	576	3.5%
65+2	551	3.4%
Other values (86)	10128	62.4%

Most occurring characters

Value	Count	Frequency (%)
2	17578	27.1%
+	16242	25.0%
6	7100	10.9%
5	7083	10.9%
4	4867	7.5%
7	2975	4.6%
3	2660	4.1%
8	1656	2.5%
1	1623	2.5%
9	1615	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17578	36.1%
6	7100	14.6%
5	7083	14.5%
4	4867	10.0%
7	2975	6.1%
3	2660	5.5%
8	1656	3.4%
1	1623	3.3%
9	1615	3.3%
0	1569	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17578	27.1%
+	16242	25.0%
6	7100	10.9%
5	7083	10.9%
4	4867	7.5%
7	2975	4.6%
3	2660	4.1%
8	1656	2.5%
1	1623	2.5%
9	1615	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17578	27.1%
+	16242	25.0%
6	7100	10.9%
5	7083	10.9%
4	4867	7.5%
7	2975	4.6%
3	2660	4.1%
8	1656	2.5%
1	1623	2.5%
9	1615	2.5%

lcb
Categorical

HIGH CARDINALITY
MISSING

Distinct	110
Distinct (%)	0.7%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	621
62+2	609
64+2	599
61+2	554
66+2	545
Other values (105)	13314

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	52+2
2nd row	53+3
3rd row	46+3
4th row	49+3
5th row	66+3

Common Values

Value	Count	Frequency (%)
63+2	621	3.4%
62+2	609	3.3%
64+2	599	3.3%
61+2	554	3.0%
66+2	545	3.0%
65+2	539	2.9%
60+2	520	2.8%
67+2	505	2.8%
59+2	464	2.5%
58+2	443	2.4%
Other values (100)	10843	59.3%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	621	3.8%
62+2	609	3.7%
64+2	599	3.7%
61+2	554	3.4%
66+2	545	3.4%
65+2	539	3.3%
60+2	520	3.2%
67+2	505	3.1%
59+2	464	2.9%
58+2	443	2.7%
Other values (100)	10843	66.8%

Most occurring characters

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17694	36.3%
6	6944	14.3%
5	5358	11.0%
4	5169	10.6%
3	3778	7.8%
7	3272	6.7%
8	1700	3.5%
1	1676	3.4%
0	1607	3.3%
9	1528	3.1%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

cb
Categorical

HIGH CARDINALITY
MISSING

Distinct	110
Distinct (%)	0.7%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	621
62+2	609
64+2	599
61+2	554
66+2	545
Other values (105)	13314

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	52+2
2nd row	53+3
3rd row	46+3
4th row	49+3
5th row	66+3

Common Values

Value	Count	Frequency (%)
63+2	621	3.4%
62+2	609	3.3%
64+2	599	3.3%
61+2	554	3.0%
66+2	545	3.0%
65+2	539	2.9%
60+2	520	2.8%
67+2	505	2.8%
59+2	464	2.5%
58+2	443	2.4%
Other values (100)	10843	59.3%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	621	3.8%
62+2	609	3.7%
64+2	599	3.7%
61+2	554	3.4%
66+2	545	3.4%
65+2	539	3.3%
60+2	520	3.2%
67+2	505	3.1%
59+2	464	2.9%
58+2	443	2.7%
Other values (100)	10843	66.8%

Most occurring characters

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17694	36.3%
6	6944	14.3%
5	5358	11.0%
4	5169	10.6%
3	3778	7.8%
7	3272	6.7%
8	1700	3.5%
1	1676	3.4%
0	1607	3.3%
9	1528	3.1%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

rcb
Categorical

HIGH CARDINALITY
MISSING

Distinct	110
Distinct (%)	0.7%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

63+2	621
62+2	609
64+2	599
61+2	554
66+2	545
Other values (105)	13314

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	< 0.1%

Sample

1st row	52+2
2nd row	53+3
3rd row	46+3
4th row	49+3
5th row	66+3

Common Values

Value	Count	Frequency (%)
63+2	621	3.4%
62+2	609	3.3%
64+2	599	3.3%
61+2	554	3.0%
66+2	545	3.0%
65+2	539	2.9%
60+2	520	2.8%
67+2	505	2.8%
59+2	464	2.5%
58+2	443	2.4%
Other values (100)	10843	59.3%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
63+2	621	3.8%
62+2	609	3.7%
64+2	599	3.7%
61+2	554	3.4%
66+2	545	3.4%
65+2	539	3.3%
60+2	520	3.2%
67+2	505	3.1%
59+2	464	2.9%
58+2	443	2.7%
Other values (100)	10843	66.8%

Most occurring characters

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17694	36.3%
6	6944	14.3%
5	5358	11.0%
4	5169	10.6%
3	3778	7.8%
7	3272	6.7%
8	1700	3.5%
1	1676	3.4%
0	1607	3.3%
9	1528	3.1%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17694	27.2%
+	16242	25.0%
6	6944	10.7%
5	5358	8.2%
4	5169	8.0%
3	3778	5.8%
7	3272	5.0%
8	1700	2.6%
1	1676	2.6%
0	1607	2.5%

rb
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	96
Distinct (%)	0.6%
Missing	2036
Missing (%)	11.1%
Memory size	142.9 KiB

61+2	667
63+2	660
62+2	642
59+2	639
60+2	598
Other values (91)	13036

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	64968
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	63+2
2nd row	61+3
3rd row	61+3
4th row	61+3
5th row	73+3

Common Values

Value	Count	Frequency (%)
61+2	667	3.6%
63+2	660	3.6%
62+2	642	3.5%
59+2	639	3.5%
60+2	598	3.3%
57+2	596	3.3%
56+2	595	3.3%
58+2	590	3.2%
64+2	576	3.2%
65+2	551	3.0%
Other values (86)	10128	55.4%
(Missing)	2036	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
61+2	667	4.1%
63+2	660	4.1%
62+2	642	4.0%
59+2	639	3.9%
60+2	598	3.7%
57+2	596	3.7%
56+2	595	3.7%
58+2	590	3.6%
64+2	576	3.5%
65+2	551	3.4%
Other values (86)	10128	62.4%

Most occurring characters

Value	Count	Frequency (%)
2	17578	27.1%
+	16242	25.0%
6	7100	10.9%
5	7083	10.9%
4	4867	7.5%
7	2975	4.6%
3	2660	4.1%
8	1656	2.5%
1	1623	2.5%
9	1615	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48726	75.0%
Math Symbol	16242	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	17578	36.1%
6	7100	14.6%
5	7083	14.5%
4	4867	10.0%
7	2975	6.1%
3	2660	5.5%
8	1656	3.4%
1	1623	3.3%
9	1615	3.3%
0	1569	3.2%

Math Symbol

Value	Count	Frequency (%)
+	16242	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	64968	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	17578	27.1%
+	16242	25.0%
6	7100	10.9%
5	7083	10.9%
4	4867	7.5%
7	2975	4.6%
3	2660	4.1%
8	1656	2.5%
1	1623	2.5%
9	1615	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64968	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	17578	27.1%
+	16242	25.0%
6	7100	10.9%
5	7083	10.9%
4	4867	7.5%
7	2975	4.6%
3	2660	4.1%
8	1656	2.5%
1	1623	2.5%
9	1615	2.5%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	sofifa_id	player_url	short_name	long_name	age	dob	height_cm	weight_kg	nationality	club	overall	potential	value_eur	wage_eur	player_positions	preferred_foot	international_reputation	weak_foot	skill_moves	work_rate	body_type	real_face	release_clause_eur	player_tags	team_position	team_jersey_number	loaned_from	joined	contract_valid_until	nation_position	nation_jersey_number	pace	shooting	passing	dribbling	defending	physic	gk_diving	gk_handling	gk_kicking	gk_reflexes	gk_speed	gk_positioning	player_traits	attacking_crossing	attacking_finishing	attacking_heading_accuracy	attacking_short_passing	attacking_volleys	skill_dribbling	skill_curve	skill_fk_accuracy	skill_long_passing	skill_ball_control	movement_acceleration	movement_sprint_speed	movement_agility	movement_reactions	movement_balance	power_shot_power	power_jumping	power_stamina	power_strength	power_long_shots	mentality_aggression	mentality_interceptions	mentality_positioning	mentality_vision	mentality_penalties	mentality_composure	defending_marking	defending_standing_tackle	defending_sliding_tackle	goalkeeping_diving	goalkeeping_handling	goalkeeping_kicking	goalkeeping_positioning	goalkeeping_reflexes	ls	st	rs	lw	lf	cf	rf	rw	lam	cam	ram	lm	lcm	cm	rcm	rm	lwb	ldm	cdm	rdm	rwb	lb	lcb	cb	rcb	rb
0	158023	https://sofifa.com/player/158023/lionel-messi/20/159586	L. Messi	Lionel Andrés Messi Cuccittini	32	1987-06-24	170	72	Argentina	FC Barcelona	94	94	95500000	565000	RW, CF, ST	Left	5	4	4	Medium/Low	Messi	Yes	195800000.0	#Dribbler, #Distance Shooter, #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete Forward	RW	10.0	NaN	2004-07-01	2021.0	NaN	NaN	87.0	92.0	92.0	96.0	39.0	66.0	NaN	NaN	NaN	NaN	NaN	NaN	Beat Offside Trap, Argues with Officials, Early Crosser, Finesse Shot, Speed Dribbler (CPU AI Only), 1-on-1 Rush, Giant Throw-in, Outside Foot Shot	88	95	70	92	88	97	93	94	92	96	91	84	93	95	95	86	68	75	68	94	48	40	94	94	75	96	33	37	26	6	11	15	14	8	89+2	89+2	89+2	93+2	93+2	93+2	93+2	93+2	93+2	93+2	93+2	92+2	87+2	87+2	87+2	92+2	68+2	66+2	66+2	66+2	68+2	63+2	52+2	52+2	52+2	63+2
1	20801	https://sofifa.com/player/20801/c-ronaldo-dos-santos-aveiro/20/159586	Cristiano Ronaldo	Cristiano Ronaldo dos Santos Aveiro	34	1985-02-05	187	83	Portugal	Juventus	93	93	58500000	405000	ST, LW	Right	5	4	5	High/Low	C. Ronaldo	Yes	96500000.0	#Speedster, #Dribbler, #Distance Shooter, #Acrobat, #Clinical Finisher, #Complete Forward	LW	7.0	NaN	2018-07-10	2022.0	LS	7.0	90.0	93.0	82.0	89.0	35.0	78.0	NaN	NaN	NaN	NaN	NaN	NaN	Long Throw-in, Selfish, Argues with Officials, Early Crosser, Speed Dribbler (CPU AI Only), Skilled Dribbling	84	94	89	83	87	89	81	76	77	92	89	91	87	96	71	95	95	85	78	93	63	29	95	82	85	95	28	32	24	7	11	15	14	11	91+3	91+3	91+3	89+3	90+3	90+3	90+3	89+3	88+3	88+3	88+3	88+3	81+3	81+3	81+3	88+3	65+3	61+3	61+3	61+3	65+3	61+3	53+3	53+3	53+3	61+3
2	190871	https://sofifa.com/player/190871/neymar-da-silva-santos-jr/20/159586	Neymar Jr	Neymar da Silva Santos Junior	27	1992-02-05	175	68	Brazil	Paris Saint-Germain	92	92	105500000	290000	LW, CAM	Right	5	5	5	High/Medium	Neymar	Yes	195200000.0	#Speedster, #Dribbler, #Playmaker , #Crosser, #FK Specialist, #Acrobat, #Clinical Finisher, #Complete Midfielder, #Complete Forward	CAM	10.0	NaN	2017-08-03	2022.0	LW	10.0	91.0	85.0	87.0	95.0	32.0	58.0	NaN	NaN	NaN	NaN	NaN	NaN	Power Free-Kick, Injury Free, Selfish, Early Crosser, Speed Dribbler (CPU AI Only), Crowd Favourite	87	87	62	87	87	96	88	87	81	95	94	89	96	92	84	80	61	81	49	84	51	36	87	90	90	94	27	26	29	9	9	15	15	11	84+3	84+3	84+3	90+3	89+3	89+3	89+3	90+3	90+3	90+3	90+3	89+3	82+3	82+3	82+3	89+3	66+3	61+3	61+3	61+3	66+3	61+3	46+3	46+3	46+3	61+3
3	200389	https://sofifa.com/player/200389/jan-oblak/20/159586	J. Oblak	Jan Oblak	26	1993-01-07	188	87	Slovenia	Atlético Madrid	91	93	77500000	125000	GK	Right	3	3	1	Medium/Medium	Normal	Yes	164700000.0	NaN	GK	13.0	NaN	2014-07-16	2023.0	GK	1.0	NaN	NaN	NaN	NaN	NaN	NaN	87.0	92.0	78.0	89.0	52.0	90.0	Flair, Acrobatic Clearance	13	11	15	43	13	12	13	14	40	30	43	60	67	88	49	59	78	41	78	12	34	19	11	65	11	68	27	12	18	87	92	78	90	89	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	183277	https://sofifa.com/player/183277/eden-hazard/20/159586	E. Hazard	Eden Hazard	28	1991-01-07	175	74	Belgium	Real Madrid	91	91	90000000	470000	LW, CF	Right	4	4	4	High/Medium	Normal	Yes	184500000.0	#Speedster, #Dribbler, #Acrobat	LW	7.0	NaN	2019-07-01	2024.0	LF	10.0	91.0	83.0	86.0	94.0	35.0	66.0	NaN	NaN	NaN	NaN	NaN	NaN	Beat Offside Trap, Selfish, Finesse Shot, Speed Dribbler (CPU AI Only), Crowd Favourite	81	84	61	89	83	95	83	79	83	94	94	88	95	90	94	82	56	84	63	80	54	41	87	89	88	91	34	27	22	11	12	6	8	8	83+3	83+3	83+3	89+3	88+3	88+3	88+3	89+3	89+3	89+3	89+3	89+3	83+3	83+3	83+3	89+3	66+3	63+3	63+3	63+3	66+3	61+3	49+3	49+3	49+3	61+3
5	192985	https://sofifa.com/player/192985/kevin-de-bruyne/20/159586	K. De Bruyne	Kevin De Bruyne	28	1991-06-28	181	70	Belgium	Manchester City	91	91	90000000	370000	CAM, CM	Right	4	5	4	High/High	Normal	Yes	166500000.0	#Dribbler, #Playmaker , #Engine, #Distance Shooter, #Crosser, #Complete Midfielder	RCM	17.0	NaN	2015-08-30	2023.0	RCM	7.0	76.0	86.0	92.0	86.0	61.0	78.0	NaN	NaN	NaN	NaN	NaN	NaN	Power Free-Kick, Avoids Using Weaker Foot, Dives Into Tackles (CPU AI Only), Leadership, Argues with Officials, Finesse Shot	93	82	55	92	82	86	85	83	91	91	77	76	78	91	76	91	63	89	74	90	76	61	88	94	79	91	68	58	51	15	13	5	10	13	82+3	82+3	82+3	87+3	87+3	87+3	87+3	87+3	88+3	88+3	88+3	88+3	87+3	87+3	87+3	88+3	77+3	77+3	77+3	77+3	77+3	73+3	66+3	66+3	66+3	73+3
6	192448	https://sofifa.com/player/192448/marc-andre-ter-stegen/20/159586	M. ter Stegen	Marc-André ter Stegen	27	1992-04-30	187	85	Germany	FC Barcelona	90	93	67500000	250000	GK	Right	3	4	1	Medium/Medium	Normal	Yes	143400000.0	NaN	GK	1.0	NaN	2014-07-01	2022.0	SUB	22.0	NaN	NaN	NaN	NaN	NaN	NaN	88.0	85.0	88.0	90.0	45.0	88.0	Swerve Pass, Acrobatic Clearance, Flair Passes	18	14	11	61	14	21	18	12	63	30	38	50	37	86	43	66	79	35	78	10	43	22	11	70	25	70	25	13	10	88	85	88	88	90	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	203376	https://sofifa.com/player/203376/virgil-van-dijk/20/159586	V. van Dijk	Virgil van Dijk	27	1991-07-08	193	92	Netherlands	Liverpool	90	91	78000000	200000	CB	Right	3	3	2	Medium/Medium	Normal	Yes	150200000.0	#Tackling , #Tactician , #Strength, #Complete Defender	LCB	4.0	NaN	2018-01-01	2023.0	LCB	4.0	77.0	60.0	70.0	71.0	90.0	86.0	NaN	NaN	NaN	NaN	NaN	NaN	Diver, Avoids Using Weaker Foot, Leadership, Long Passer (CPU AI Only)	53	52	86	78	45	70	60	70	81	76	74	79	61	88	53	81	90	75	92	64	82	89	47	65	62	89	91	92	85	13	10	13	11	11	69+3	69+3	69+3	67+3	69+3	69+3	69+3	67+3	69+3	69+3	69+3	69+3	74+3	74+3	74+3	69+3	79+3	83+3	83+3	83+3	79+3	81+3	87+3	87+3	87+3	81+3
8	177003	https://sofifa.com/player/177003/luka-modric/20/159586	L. Modrić	Luka Modrić	33	1985-09-09	172	66	Croatia	Real Madrid	90	90	45000000	340000	CM	Right	4	4	4	High/High	Lean	Yes	92300000.0	#Dribbler, #Playmaker , #Crosser, #Acrobat, #Complete Midfielder	RCM	10.0	NaN	2012-08-01	2020.0	NaN	NaN	74.0	76.0	89.0	89.0	72.0	66.0	NaN	NaN	NaN	NaN	NaN	NaN	Argues with Officials, Finesse Shot, Speed Dribbler (CPU AI Only), Crowd Favourite	86	72	55	92	76	87	85	78	88	92	77	71	92	89	93	79	68	85	58	82	62	82	79	91	82	92	68	76	71	13	9	7	14	9	77+3	77+3	77+3	84+3	83+3	83+3	83+3	84+3	86+3	86+3	86+3	85+3	87+3	87+3	87+3	85+3	81+3	81+3	81+3	81+3	81+3	79+3	72+3	72+3	72+3	79+3
9	209331	https://sofifa.com/player/209331/mohamed-salah/20/159586	M. Salah	Mohamed Salah Ghaly	27	1992-06-15	175	71	Egypt	Liverpool	90	90	80500000	240000	RW, ST	Left	3	3	4	High/Medium	PLAYER_BODY_TYPE_25	Yes	148900000.0	#Speedster, #Dribbler, #Acrobat, #Clinical Finisher, #Complete Forward	RW	11.0	NaN	2017-07-01	2023.0	RW	10.0	93.0	86.0	81.0	89.0	45.0	74.0	NaN	NaN	NaN	NaN	NaN	NaN	Beat Offside Trap, Argues with Officials, Early Crosser, Speed Dribbler (CPU AI Only), Outside Foot Shot	79	90	59	84	79	89	83	69	75	89	94	92	91	92	88	80	69	85	73	84	63	55	92	84	77	91	38	43	41	14	14	9	11	14	84+3	84+3	84+3	88+3	88+3	88+3	88+3	88+3	87+3	87+3	87+3	87+3	81+3	81+3	81+3	87+3	70+3	67+3	67+3	67+3	70+3	66+3	57+3	57+3	57+3	66+3

Last rows

	sofifa_id	player_url	short_name	long_name	age	dob	height_cm	weight_kg	nationality	club	overall	potential	value_eur	wage_eur	player_positions	preferred_foot	international_reputation	weak_foot	skill_moves	work_rate	body_type	real_face	release_clause_eur	player_tags	team_position	team_jersey_number	loaned_from	joined	contract_valid_until	nation_position	nation_jersey_number	pace	shooting	passing	dribbling	defending	physic	gk_diving	gk_handling	gk_kicking	gk_reflexes	gk_speed	gk_positioning	player_traits	attacking_crossing	attacking_finishing	attacking_heading_accuracy	attacking_short_passing	attacking_volleys	skill_dribbling	skill_curve	skill_fk_accuracy	skill_long_passing	skill_ball_control	movement_acceleration	movement_sprint_speed	movement_agility	movement_reactions	movement_balance	power_shot_power	power_jumping	power_stamina	power_strength	power_long_shots	mentality_aggression	mentality_interceptions	mentality_positioning	mentality_vision	mentality_penalties	mentality_composure	defending_marking	defending_standing_tackle	defending_sliding_tackle	goalkeeping_diving	goalkeeping_handling	goalkeeping_kicking	goalkeeping_positioning	goalkeeping_reflexes	ls	st	rs	lw	lf	cf	rf	rw	lam	cam	ram	lm	lcm	cm	rcm	rm	lwb	ldm	cdm	rdm	rwb	lb	lcb	cb	rcb	rb
18268	247452	https://sofifa.com/player/247452/michael-gallagher/20/159586	M. Gallagher	Michael Gallagher	18	2000-07-09	178	70	Republic of Ireland	Finn Harps	48	60	50000	1000	LM, RM, CM	Right	1	3	2	Medium/Medium	Normal	No	88000.0	NaN	SUB	17.0	NaN	2016-07-01	2019.0	NaN	NaN	60.0	40.0	46.0	49.0	34.0	47.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	40	34	42	53	33	49	35	35	47	48	63	57	55	33	57	51	59	34	51	41	50	34	47	45	38	41	30	35	32	7	9	9	13	10	44+2	44+2	44+2	46+2	46+2	46+2	46+2	46+2	47+2	47+2	47+2	46+2	44+2	44+2	44+2	46+2	40+2	40+2	40+2	40+2	40+2	39+2	39+2	39+2	39+2	39+2
18269	252181	https://sofifa.com/player/252181/jiahui-huang/20/159586	Huang Jiahui	Jiahui Huang	18	2000-10-07	183	74	China PR	Dalian YiFang FC	48	60	40000	1000	CB	Right	1	3	2	Medium/Medium	Normal	No	70000.0	NaN	SUB	14.0	NaN	2019-01-01	2023.0	NaN	NaN	70.0	29.0	29.0	35.0	46.0	53.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	28	30	46	31	23	25	28	28	24	35	70	70	68	47	61	40	75	53	55	15	41	49	30	33	39	43	40	48	49	8	12	13	7	5	38+2	38+2	38+2	36+2	36+2	36+2	36+2	36+2	34+2	34+2	34+2	37+2	34+2	34+2	34+2	37+2	44+2	40+2	40+2	40+2	44+2	46+2	46+2	46+2	46+2	46+2
18270	252568	https://sofifa.com/player/252568/mohammed-sagaf/20/159586	M. Sagaf	Mohammed Sagaf	21	1997-11-12	177	70	England	Carlisle United	48	60	50000	1000	CM	Right	1	3	2	Medium/Medium	Lean	No	98000.0	NaN	SUB	28.0	NaN	2019-08-03	2020.0	NaN	NaN	61.0	36.0	47.0	44.0	38.0	53.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	39	26	45	54	33	43	37	32	53	41	63	60	56	51	50	54	60	55	51	38	55	37	53	44	40	42	36	37	42	10	13	13	11	11	45+2	45+2	45+2	45+2	46+2	46+2	46+2	45+2	46+2	46+2	46+2	47+2	46+2	46+2	46+2	47+2	45+2	45+2	45+2	45+2	45+2	45+2	43+2	43+2	43+2	45+2
18271	243961	https://sofifa.com/player/243961/evan-tweed/20/159586	E. Tweed	Evan Tweed	20	1999-03-01	180	72	Republic of Ireland	Derry City	48	59	50000	1000	CM	Right	1	3	2	Medium/Medium	Normal	No	88000.0	NaN	SUB	19.0	NaN	2018-02-23	2019.0	NaN	NaN	52.0	37.0	47.0	46.0	42.0	49.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	37	35	49	55	27	41	31	30	47	44	54	50	63	53	64	47	60	51	45	31	52	45	37	49	40	43	39	39	48	6	11	9	5	8	43+2	43+2	43+2	44+2	44+2	44+2	44+2	44+2	46+2	46+2	46+2	45+2	46+2	46+2	46+2	45+2	46+2	46+2	46+2	46+2	46+2	46+2	45+2	45+2	45+2	46+2
18272	251789	https://sofifa.com/player/251789/paul-martin/20/159586	P. Martin	Paul Martin	20	1999-01-05	188	84	Republic of Ireland	Waterford FC	48	58	40000	1000	GK	Right	1	1	1	Medium/Medium	Normal	No	70000.0	NaN	SUB	30.0	NaN	2019-06-28	2019.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	54.0	51.0	46.0	45.0	24.0	43.0	NaN	12	8	13	26	8	5	14	14	16	12	32	17	35	35	31	35	48	21	57	9	17	10	6	24	13	34	6	12	11	54	51	46	43	45	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
18273	245006	https://sofifa.com/player/245006/shuai-shao/20/159586	Shao Shuai	邵帅	22	1997-03-10	186	79	China PR	Beijing Renhe FC	48	56	40000	2000	CB	Right	1	3	2	Medium/High	Normal	No	70000.0	NaN	RES	36.0	NaN	2018-07-13	2019.0	NaN	NaN	57.0	23.0	28.0	33.0	47.0	51.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	21	17	40	35	27	24	23	21	28	35	56	58	45	40	73	36	70	60	47	16	46	48	28	25	39	41	45	50	52	5	5	13	5	14	32+2	32+2	32+2	31+2	31+2	31+2	31+2	31+2	31+2	31+2	31+2	33+2	33+2	33+2	33+2	33+2	43+2	42+2	42+2	42+2	43+2	45+2	46+2	46+2	46+2	45+2
18274	250995	https://sofifa.com/player/250995/mingjie-xiao/20/159586	Xiao Mingjie	Mingjie Xiao	22	1997-01-01	177	66	China PR	Shanghai SIPG FC	48	56	40000	2000	CB	Right	1	2	2	Medium/Medium	Normal	No	72000.0	NaN	SUB	31.0	NaN	2019-02-01	2022.0	NaN	NaN	58.0	24.0	33.0	35.0	48.0	48.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	24	20	42	43	28	32	24	29	39	31	55	61	43	41	76	33	72	55	44	20	42	49	23	25	37	35	42	53	57	13	6	14	11	9	33+2	33+2	33+2	33+2	32+2	32+2	32+2	33+2	33+2	33+2	33+2	35+2	36+2	36+2	36+2	35+2	44+2	43+2	43+2	43+2	44+2	46+2	47+2	47+2	47+2	46+2
18275	252332	https://sofifa.com/player/252332/wei-zhang/20/159586	Zhang Wei	张威	19	2000-05-16	186	75	China PR	Hebei China Fortune FC	48	56	40000	1000	CM	Right	1	2	2	Low/Medium	Lean	No	70000.0	NaN	SUB	38.0	NaN	2019-01-01	2019.0	NaN	NaN	54.0	35.0	44.0	45.0	48.0	51.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	32	33	49	53	32	40	32	32	55	49	55	54	52	52	57	48	60	50	51	26	50	45	38	38	36	39	46	52	46	7	8	10	6	14	43+2	43+2	43+2	43+2	43+2	43+2	43+2	43+2	44+2	44+2	44+2	45+2	46+2	46+2	46+2	45+2	47+2	49+2	49+2	49+2	47+2	47+2	49+2	49+2	49+2	47+2
18276	251110	https://sofifa.com/player/251110/haijian-wang/20/159586	Wang Haijian	汪海健	18	2000-08-02	185	74	China PR	Shanghai Greenland Shenhua FC	48	54	40000	1000	CM	Right	1	2	2	Low/Low	Lean	No	70000.0	NaN	SUB	33.0	NaN	2019-02-01	2022.0	NaN	NaN	59.0	35.0	47.0	47.0	45.0	52.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	39	34	47	54	28	42	37	39	48	49	55	63	55	54	59	46	61	42	55	28	57	49	31	48	36	40	39	44	54	14	9	13	13	13	43+2	43+2	43+2	45+2	44+2	44+2	44+2	45+2	46+2	46+2	46+2	46+2	46+2	46+2	46+2	46+2	48+2	48+2	48+2	48+2	48+2	48+2	49+2	49+2	49+2	48+2
18277	233449	https://sofifa.com/player/233449/ximing-pan/20/159586	Pan Ximing	潘喜明	26	1993-01-11	182	78	China PR	Hebei China Fortune FC	48	51	40000	2000	CM	Right	1	3	2	Medium/Medium	Normal	No	NaN	NaN	SUB	37.0	Tianjin TEDA FC	NaN	2019.0	NaN	NaN	60.0	32.0	51.0	45.0	47.0	55.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	44	30	48	58	25	40	34	35	52	46	54	64	52	49	71	41	64	40	61	30	54	47	29	52	38	42	52	42	48	8	12	14	9	10	42+2	42+2	42+2	44+2	43+2	43+2	43+2	44+2	46+2	46+2	46+2	46+2	46+2	46+2	46+2	46+2	48+2	49+2	49+2	49+2	48+2	48+2	50+2	50+2	50+2	48+2

Overview

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Latin

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Latin

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Format

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Han

Hangul

Latin

Katakana

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Decimal Number

Dash Punctuation

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Common

Most occurring blocks

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